repository catalog

A real-time interview copilot that detects questions and streams tailored answers through a web app and Chrome extension.

Languages: JavaScript, HTML, CSS

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-12

A public-safe library of reusable agent skills, workflow templates, references, and routing guidance.

Languages: Python, HTML, JavaScript, TypeScript, Shell, PowerShell, CSS, YARA, Swift, CodeQL, C, TeX, C#, Ruby, Java, Kotlin, Rust, PHP, Dockerfile, Go, LLVM, Assembly

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-24

Reusable agent workflows for research, writing, iterative review, and evidence-gated project improvement.

Languages: Python, Shell, TeX

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-15

A multilingual, multi-model AI chat interface for users in China, deployed on Vercel with bring-your-own-key support.

Languages: JavaScript, CSS, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-11

Self-study implementations based on the AI Computing Systems labs, covering operators, a compact deep-learning framework, and style transfer.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

A desktop AI development environment for coding with Chinese large-language-model providers.

Languages: TypeScript, Rust, CSS, JavaScript, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-13

A public fork of ARIS, a Markdown-based workflow for autonomous machine-learning research and cross-model review.

Languages: Python, Shell, PowerShell, HTML

Public fork; no original authorship of the upstream project is claimed.

Updated 2026-05-19

A local-first AI coding agent that combines a command-line interface, local web UI, and DeepSeek model support.

Languages: JavaScript, HTML, Python

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-13

Self-study implementations based on CMU 11-667, covering transformers, retrieval and tool use, in-context learning, calibration, and efficiency.

Languages: Python, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study assignments based on CMU 11-711, including a compact BERT implementation for sentiment, paraphrase, and similarity tasks.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study NLP assignments based on Stanford CS224N, covering word vectors, dependency parsing, neural machine translation, and Transformer pretraining.

Languages: Python, Jupyter Notebook, Erlang, Shell, Batchfile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study computer-vision assignments based on Stanford CS231N, covering classifiers, convolutional networks, captioning, and generative models.

Languages: Jupyter Notebook, Python, Shell, Cython

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study projects based on Harvard CS50 AI, covering search, logic, probabilistic inference, optimization, machine learning, computer vision, and NLP.

Languages: Python, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study implementations based on the DeepLearning.AI Deep Learning Specialization, covering optimization, convolutional networks, and sequence models.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study machine-learning assignments based on Hung-yi Lee’s public course materials, spanning supervised, generative, and reinforcement-learning topics.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-18

A multi-model deliberation system supporting council, debate, red-team, consensus, specialist, and tournament protocols.

Languages: Python, CSS, JavaScript, Batchfile, PowerShell, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-27

An autonomous research workflow centered on phenomenon-driven discovery, early falsification, and evidence-gated progression.

Languages: Python, JavaScript, CSS, Makefile, Batchfile, HTML, PowerShell

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-27

A terminal-native DeepSeek coding agent with snapshots, session branching, model routing, sub-agents, diagnostics, and cost tracking, based on CodeWhale.

Languages: TypeScript, JavaScript, Batchfile

Derivative implementation based on CodeWhale (MIT), inspired by MIT's CodeWhale research; upstream authorship and attribution remain with their respective authors.

Updated 2026-07-27

Research code examining reduced-lead ECG reconstruction through feature-level recoverability and distribution-free calibration.

Languages: Python, TeX, BibTeX Style

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-07-12

Research code examining identifiability and anti-aliasing sample design for implicit neural representations with fixed Fourier features.

Languages: Python, TeX, BibTeX Style, Shell

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-07-16

Research code examining speech-watermark robustness under generative resynthesis and laundering transformations.

Languages: Python, TeX, BibTeX Style, Shell

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-07-17

Research code examining when latent higher-order network structure can be identified from edge-flow observations.

Languages: Python, TeX, BibTeX Style

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-07-18

Self-study analyses based on CMU 17-803 materials, covering empirical study design, statistics, and reproducible software-engineering research.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study implementations based on CMU 10-708, covering inference, parameter learning, and structured probabilistic models.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study deep-learning systems based on CMU 11-785, including automatic differentiation, neural-network components, sequence models, and attention.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study machine-learning assignments based on UC Berkeley CS189, covering classification, regression, trees, neural networks, clustering, PCA, and kernels.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study graph-learning assignments based on Stanford CS224W, covering node embeddings, message-passing networks, classification, and link prediction.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study programming assignments based on Stanford CS229, covering regression, generative classifiers, SVMs, clustering, PCA, and reinforcement learning.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study theory exercises based on Stanford STATS 214 and CS229M, covering concentration, complexity, margins, kernels, and online learning.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study deep-RL assignments based on UC Berkeley CS285, covering imitation, policy gradients, value methods, model-based learning, and offline RL.

Languages: Jupyter Notebook, Python, TeX, Shell, Awk

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study vision assignments based on Michigan EECS 498/598, covering classifiers, convolutional and recurrent networks, detection, and generative models.

Languages: Jupyter Notebook, Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study generative-model implementations based on MIT 6.S184 materials, covering flow matching and score-based diffusion.

Languages: Jupyter Notebook, Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Research code for comparing pointwise LLM relevance estimates and uncertainty-aware reranking under a shared candidate protocol.

Languages: Python, Shell, TeX, PowerShell

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-06-22

Self-study deep-learning assignments based on MIT 6.S7960, focused on implementing and analyzing neural-network components and training methods.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study Machine Learning Specialization work covering regression, neural networks, trees, clustering, anomaly detection, recommendation, and deep Q-learning.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

A self-study Needle framework based on CMU 10-414/714, covering autodiff, neural-network modules, optimization, array backends, and sequence models.

Languages: Python, Jupyter Notebook, C++, Cuda, CMake, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study implementations based on Andrej Karpathy’s Neural Networks: Zero to Hero series, including micrograd, makemore, a compact GPT, and BPE tokenization.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-02

Research code exploring trajectory- and layer-aware data selection for instruction tuning.

Languages: Python, TeX

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-06-23

Self-study work based on NYU’s 2021 deep-learning course, covering backpropagation, CNNs, RNNs, attention, and energy-based models.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Research code exploring risk-sensitive calibration rewards for RLVR reasoning models.

Languages: Python, TeX

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-06-23

Self-study work based on University of Toronto STA4273, covering variational methods, gradient estimators, and latent-variable models.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study numerical exercises based on Stanford EE364A, using CVXPY for linear, quadratic, second-order-cone, and semidefinite optimization.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study assignments based on Columbia STAT8201, covering variational autoencoders, normalizing flows, GANs, autoregressive models, and diffusion.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Research code exploring temporal graph-to-language retrieval for sequence and time understanding in LLM-based recommendation.

Languages: Python, Shell, TeX, PowerShell

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-06-10

Research code exploring causal-propagation audits of hallucination traces across LLM decoding paradigms.

Languages: Python, TeX

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-06-23

Research code for uncertainty-aware generative recommendation, organized around shared data, baselines, evaluation, and reproducibility utilities.

Languages: Python, Shell, TeX

Research repository; consult its documentation for collaborators, data sources, and contribution details.

Updated 2026-07-07

Self-study Data 100 labs covering regression, optimization, classification, dimensionality reduction, clustering, and applied projects.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study security exercises based on ASU CSE365 and pwn.college materials, spanning Linux permissions, shellcode, debugging, and web vulnerabilities.

Languages: Python, Shell, C, Assembly, GDB

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study systems-security exercises based on ASU CSE466 and pwn.college materials, covering reverse engineering, memory corruption, and sandboxing.

Languages: Python, C, Shell, Assembly

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A self-study NanoDB implementation based on Caltech CS122, covering storage, buffer management, B+ trees, query planning, and transactions.

Languages: Java, HTML, ANTLR, Shell, Python, Batchfile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

A self-study BusTub database implementation based on CMU 15-445, covering buffer management, B+ trees, query execution, and concurrency.

Languages: C++, CMake, Python, HTML, Shell, C

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study work based on CMU 15-799 database-systems materials, focused on query optimization and DBMS internals.

Languages: Python, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study systems work based on CMU 11-868, covering attention kernels, memory and quantization techniques, and parallel training and serving.

Languages: Python, Cuda

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study Rust exercises based on Stanford CS110L, including systems-programming practice, a ptrace debugger, and an asynchronous load balancer.

Languages: Rust, C, Dockerfile, Shell, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

A self-study TCP/IP stack based on Stanford CS144, covering byte streams, reassembly, TCP send and receive paths, network interfaces, and routing.

Languages: C++, CMake, Python, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study parallel-computing assignments based on CMU 15-418 and Stanford CS149, using ISPC, pthreads, OpenMP, and CUDA.

Languages: C++, Cuda, Python, Makefile, ISPC, Shell, C

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Pintos operating-system projects based on UC Berkeley CS162, covering scheduling, system calls, user programs, and file systems.

Languages: C, Perl, Makefile, Assembly, Shell, Linker Script, C++, Raku

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study networking projects based on UC Berkeley CS168, covering reliable transport, routing, and traceroute.

Languages: Python, Java, Processing, Shell, C++, HTML, CSS, Batchfile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

A self-study RookieDB implementation based on UC Berkeley CS186, covering B+ trees, joins, query optimization, concurrency, and recovery.

Languages: Java, Python, Shell, Dockerfile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study systems exercises based on CMU 15-213 and CS:APP, covering data representation, assembly, caching, shells, memory allocation, and network proxies.

Languages: C, Perl, Shell, Makefile, Python, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study assignments based on UC San Diego CSE234, covering automatic differentiation, graph and operator optimization, and parallel machine-learning systems.

Languages: Python, Jupyter Notebook, Shell, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study operating-system labs based on HIT materials, modifying Linux 0.11 components such as boot, system calls, scheduling, IPC, terminals, and procfs.

Languages: C, Assembly, Makefile, Python, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Rust assignments based on KAIST CS220, focused on programming-language principles and functional abstraction.

Languages: Rust, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

A self-study Rust compiler based on KAIST CS420, covering intermediate representation, optimization, and assembly generation for C.

Languages: Rust, C, Python, Shell, C++, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study Rust assignments based on KAIST CS431, covering lock-based and lock-free structures, hazard pointers, and concurrent hash maps.

Languages: Rust, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study packet-analysis labs based on Kurose and Ross networking materials, using Python and Scapy across common Internet protocols.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study exercises based on MIT’s Missing Semester, covering shell tools, editors, data wrangling, version control, debugging, build systems, and security.

Languages: Shell, Python, Vim Script, TeX, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study security labs based on MIT 6.1600, covering hashing, Merkle trees, cryptographic attacks, side channels, sandboxing, and fuzzing.

Languages: Python, TeX, C, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study distributed-systems labs based on MIT 6.824/6.5840, covering MapReduce, Raft, fault-tolerant key-value services, and sharding.

Languages: Go, Shell, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study MIT 6.858 labs using Zoobar to explore memory safety, isolation, symbolic execution, browser security, and secure storage.

Languages: Python, C, JavaScript, Shell, HTML, Makefile, CSS, Assembly, Vim Script, GDB

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study exercises based on the MLC course, covering TensorIR, model compilation, program optimization, and Apache TVM integration.

Languages: Python, Jupyter Notebook

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

A self-study compiler based on Nanjing University materials, covering lexing, parsing, semantics, IR, and code generation.

Languages: C, Yacc, Lex, Python, Assembly, Shell, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study operating-system labs based on Nanjing University materials, spanning host-side tools, concurrency, process management, memory, and file systems.

Languages: C, C++, Makefile, Assembly, Shell, Python, Linker Script

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A self-study SysY compiler based on Peking University materials, lowering a C-like language through Koopa IR to RISC-V assembly.

Languages: Rust, Assembly, C, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study security exercises based on Syracuse SEED Labs, covering selected software, cryptography, network, and web-security topics.

Languages: Python, Shell, C, HTML, GDB

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A self-study compiler based on Shanghai Jiao Tong University materials, covering the standard stages for a C-like language.

Languages: C++, Yacc, Shell, Lex, C, CMake, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study C++ systems projects based on Stanford CS110, including filesystems, processes, shells, thread pools, proxies, and MapReduce.

Languages: C++, C, Shell, Python, Makefile, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-25

A self-study Cool compiler based on Stanford CS143, covering lexical analysis, parsing, semantic analysis, and MIPS code generation.

Languages: C++, Lex, Yacc, Cool, Assembly, C, Makefile, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

A self-study RedBase relational database based on Stanford CS346, covering paged storage, B+ trees, catalogs, query execution, optimization, and aggregation.

Languages: C++, C, Makefile, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study work based on Berkeley OCF’s Linux System Administration DeCal, covering command-line operations, services, networks, and security.

Languages: Shell, Python, Nix, C, Dockerfile, HTML, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study networking labs based on USTC materials and a top-down networking curriculum, covering sockets, protocols, and Mininet experiments.

Languages: Python, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study security projects based on UC Berkeley CS161, covering memory safety, cryptography, network security, and vulnerable web applications.

Languages: Python, C, Shell, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A self-study Cminus-f compiler based on USTC materials, covering lexical and syntax analysis, LightIR and LLVM IR, and code generation.

Languages: C++, LLVM, Shell, Yacc, CMake, Python, C, Assembly, Lex

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study xv6 labs based on MIT 6.S081/6.1810, covering system calls, virtual memory, traps, copy-on-write, networking, synchronization, filesystems, and mmap.

Languages: C, Assembly, Makefile, Linker Script, Perl, Emacs Lisp

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A coursework project on mobile-robot perception, sensor-driven navigation, and decision logic.

Languages: Python

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-06-13

Self-study computer-architecture projects based on UC Berkeley CS61C, covering C, RISC-V, pipelined processors, and parallel matrix computation.

Languages: Assembly, Python, C, Shell, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

A coursework prototype for embedded infant-cry detection and motor-controlled soothing logic.

Languages: C, Makefile

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-05-23

Self-study simulator exercises based on ETH Zürich computer-architecture materials, covering caches, branch prediction, prefetching, and memory systems.

Languages: C++, Assembly, C, Shell, Python, Makefile, Batchfile, Dockerfile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study Python work based on MIT 6.007, covering LTI systems, Fourier analysis, sampling, transforms, filtering, modulation, and feedback.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study implementations based on Nand2Tetris, progressing from logic gates and a CPU to an assembler, virtual machine, Jack compiler, and operating system.

Languages: Assembly, Scilab, Python, HTML, Shell, Batchfile, Hack

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study labs based on MIT 6.5940, covering pruning, quantization, neural-architecture search, and efficient deep-learning techniques.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-03

Self-study Python labs based on UC Berkeley EE120, covering convolution, LTI systems, sampling, Fourier analysis, biomedical signals, denoising, and feedback.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Python labs based on UC Berkeley EE16A and EE16B, covering imaging, localization, classification, dynamics, estimation, control, and matrix methods.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Coursework base-station software with a live visualization dashboard for a multi-robot planetary-exploration project.

Languages: C, Python, Makefile, Shell, PowerShell

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-06-19

A browser-based interactive 3D art museum with a navigable history timeline and first-person galleries.

Languages: TypeScript, JavaScript, CSS

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-02

An original browser-based voxel sandbox with procedural worlds, lighting, crafting, creatures, and local saves.

Languages: JavaScript, CSS, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

An open-source browser rhythm game with public-domain music and a dependency-free Web Audio piano.

Languages: JavaScript, CSS, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

A CPU-oriented Python and NumPy reimplementation based on CMU 15-462/662 Scotty3D, covering rasterization, mesh processing, path tracing, and animation.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Pacman AI projects based on UC Berkeley CS188, covering search, games, reinforcement learning, probabilistic inference, and ML.

Languages: Python, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-02

Self-study C projects based on Duke University’s Introductory C Programming Specialization, including card-game and image-data exercises.

Languages: C, Python, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study graphics assignments based on GAMES101, covering rasterization, shading, Bézier curves, ray tracing, acceleration structures, and path tracing.

Languages: C++, Shell, Makefile, PowerShell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study GAMES103 implementations covering rigid bodies, mass-spring cloth, finite-element elasticity, and shallow-water simulation.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study GAMES202 rendering work covering soft shadows, radiance transfer, screen-space effects, energy compensation, and denoising.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

A dependency-free, top-down open-city browser game inspired by classic crime-action games.

Languages: JavaScript, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-15

A procedural Three.js shark-survival arcade game delivered from a single HTML file without a build step.

Languages: JavaScript, CSS, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

Self-study Java projects based on MIT 6.031, focused on specifications, abstract data types, testing, parsers, graphs, and collaborative applications.

Languages: Java, Shell, ANTLR

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

A Stardew-inspired pixel town that presents a local agent workspace through Phaser, React, and FastAPI.

Languages: Python, TypeScript, PowerShell, CSS, JavaScript, HTML, Batchfile

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-12

An original browser-based 3D open-world driving sandbox built with procedural systems and a minimal dependency footprint.

Languages: JavaScript, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

An original browser island life simulation with farming, fishing, combat, customization, and procedural art.

Languages: TypeScript, CSS, JavaScript, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

A fan-made browser pixel RPG with a large creature index, turn-based battles, peer-to-peer multiplayer, and original chiptune music.

Languages: TypeScript, JavaScript, CSS

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-12

An original isometric real-time strategy game with a deterministic simulation core and procedural art and audio.

Languages: TypeScript, CSS, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-17

A self-study CPU renderer based on Stanford CS148, covering rasterization, Whitted ray tracing, bounding-volume hierarchies, and Monte Carlo path tracing.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

An experimental collection of Terraria documentation and agent-oriented tooling.

Languages: Python

Experimental repository; consult its documentation for methods, sources, and contribution details.

Updated 2026-06-04

Self-study USTC graphics work covering image and mesh processing, parameterization, deformation, simplification, rasterization, and path tracing.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Configuration and profile content for the appleweiping GitHub account.

Languages: Documentation

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-04

The source repository for Weiping Yan's personal portfolio website.

Languages: HTML, TypeScript, Astro, CSS, JavaScript

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-27

A local-first content workflow for scoring posts, making blind predictions, reviewing outcomes, and evolving a rubric from evidence.

Languages: HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-14

Public-safe Windows workstation scripts and examples for a D-drive-first, agentmemory-first development setup.

Languages: PowerShell, Batchfile

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-07-23

A zero-install browser video-downloader interface backed by a Cobalt engine on Hugging Face Spaces.

Languages: JavaScript, CSS, HTML, Python, PowerShell, Dockerfile

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-12

A local-first tool that organizes Chinese consumer-dispute materials into evidence, missing-item checks, and reviewable draft documents.

Languages: Python, HTML

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-13

A local-first personal health-record prototype that organizes source-grounded longitudinal data, beginning with glucose and metabolic records.

Languages: TypeScript, HTML, CSS, JavaScript

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-13

A small coursework utility that derives a token from a supplied student number.

Languages: JavaScript, CSS, HTML

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-05-23

A coursework UML class-diagram editor with validation, undo and redo, and export support.

Languages: Java

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-05-23

An open-source U.S. visa-appointment monitor designed around account safety, local credentials, and an optional control plane.

Languages: TypeScript, CSS, HTML, JavaScript, Shell, Dockerfile

Independent project by Weiping Yan unless the repository documentation credits collaborators or upstream components.

Updated 2026-06-12

A personal knowledge base maintained through an LLM-assisted workflow.

Languages: HTML, TypeScript, Python, JavaScript, PowerShell, Shell, CSS, TeX, SCSS

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-27

Self-study C++ assignments based on Amirkabir University AP1400-2, covering object-oriented programming and data structures.

Languages: C++, Dockerfile, Shell, CMake

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study exercises based on Cambridge programming-language semantics materials, including operational and mechanized treatments of small languages.

Languages: OCaml, Makefile

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-07

Self-study OCaml assignments based on Cornell CS3110, covering functional programming, modules, testing, and a course-scale final project.

Languages: OCaml, Dune

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study C++ assignments based on Stanford CS106B, covering recursion, backtracking, abstract data types, trees, graphs, and algorithms.

Languages: C++, C, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study assignments based on Stanford CS106L, focused on modern C++ including the STL, RAII, templates, iterators, and move semantics.

Languages: Python, C++, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study web-engineering assignments based on UC Berkeley CS169, using Ruby on Rails with behavior- and test-driven development.

Languages: Ruby, HTML, Gherkin, Dockerfile, JavaScript, CSS, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study work based on UC Berkeley CS170, combining written analysis with implementations of algorithms for tractable and intractable problems.

Languages: Jupyter Notebook, Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study Python exercises based on Harvard CS50P, spanning core language features, testing, file handling, regular expressions, and object-oriented design.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study projects based on Harvard CS50x, using C, Python, SQL, and web technologies across introductory computer-science topics.

Languages: C, Python, HTML, Makefile, JavaScript, Shell, CSS

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

A self-study full-stack chat application based on UW–Madison CS571, with a REST API and React web and React Native clients.

Languages: JavaScript, HTML, CSS

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study projects based on UC Berkeley CS61A, covering functional abstraction, data structures, interpreters, and a Scheme implementation in Python.

Languages: Python, Tree-sitter Query, Scheme

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study Java projects based on UC Berkeley CS61B, covering data structures, algorithms, a version-control system, and a tile-based world generator.

Languages: Java, Python, Makefile, BitBake

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study SystemVerilog labs based on ETH Zürich digital-design materials, focused on constructing and simulating MIPS and RISC-V processors.

Languages: SystemVerilog, Shell, Assembly, Python, Tcl

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-26

Self-study applications based on Helsinki’s Full Stack Open course: a React and Express blog app and an Apollo GraphQL library service.

Languages: JavaScript, CSS, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study functional-programming exercises based on the University of Helsinki Haskell MOOC, spanning the course’s sixteen topic sets.

Languages: Haskell, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study Python implementations based on David MacKay’s information-theory text, covering coding, channels, error correction, MCMC, and EM.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study numerical checks and worked exercises based on MIT 18.01 and 18.02, covering single- and multivariable calculus.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study NumPy implementations based on MIT 18.06, covering matrix factorizations, least squares, eigenvalue methods, SVD, PageRank, and the DFT.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Julia exercises based on MIT 18.330, covering foundational numerical-analysis methods and convergence behavior.

Languages: Julia

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study programming exercises based on MIT 6.006, covering data structures, graph algorithms, dynamic programming, and related algorithmic problems.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

Self-study code and proof notes based on MIT 6.042J, covering number theory, graphs, counting, generating functions, probability, and random walks.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study written and programming exercises based on MIT 6.046, focused on algorithm design, analysis, and implementation.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

Self-study Python work based on MIT 6.050J, covering entropy, mutual information, coding, channel capacity, error correction, and maximum entropy.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study Java exercises based on MIT 6.092, covering introductory programming, object-oriented design, collections, and basic application development.

Languages: Java, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-06

Self-study Python exercises based on MIT 6.100L, covering introductory programming, problem decomposition, algorithms, and data structures.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-05

A self-study MERN social application based on MIT web.lab materials, with authentication, real-time chat, and a React, Express, MongoDB, and Socket.IO stack.

Languages: JavaScript, HTML, CSS

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study static analysis based on Nanjing University materials and Tai-e, covering dataflow, call graphs, pointers, and taint analysis.

Languages: Java

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

A coursework operating-systems project covering threads, interprocess communication, and condition variables.

Languages: C, Shell, Makefile

Coursework record; the repository documentation is authoritative for team and module attribution.

Updated 2026-05-23

Self-study assignments based on Peking University software-analysis materials, covering static and dynamic analysis, dataflow, and symbolic execution.

Languages: Slash, Python, Java

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study Java assignments based on Princeton Algorithms I and II, spanning union-find, sorting, graphs, string algorithms, and compression.

Languages: Java, PowerShell, Shell

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-04

A self-study MERN photo application based on Stanford CS142, covering sessions, registration, uploads, comments, and activity feeds.

Languages: JavaScript, HTML

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study assignments based on Stanford CS242, covering lambda calculus, type systems, and programming-language implementation.

Languages: Python, OCaml, Rust, TeX, JavaScript, F*, WebAssembly, Lean, Makefile, HTML, Shell, Assembly, C

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-09

Self-study exercises based on UC Berkeley EECS 126, covering probability, coding, random graphs, stochastic processes, detection, and filtering.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

Self-study code and notes based on UC Berkeley CS70, covering discrete mathematics, number theory, coding, matching, probability, and Markov chains.

Languages: Python

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Updated 2026-07-08

A public-safe index and governance record for undergraduate study in the Netherlands; raw course materials remain local and are not included in this repository.

Languages: Documentation

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-06-04

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

Languages: Python, HTML, Shell, JavaScript, CSS, TeX, BibTeX Style, Dockerfile

Forked repository; original authorship belongs to the upstream project. Consult the repository for local changes.

Updated 2026-07-19

Evidence-gated agentic experimentation with deterministic causal tools, selective deployment, and a 3D control room.

Languages: Python, TypeScript, CSS, TeX, PowerShell, Shell, JavaScript, Dockerfile, Makefile

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-19

Independent, auditable reproduction of PAMS for repetitive action counting

Languages: Documentation

Listed from public GitHub metadata; authorship and contribution details have not been independently curated.

Updated 2026-07-27

Independent bilingual five-campus UMN Gopher Assistant platform

Languages: TypeScript, JavaScript, CSS, HTML, Dockerfile

Metadata, documentation, or resource collection; individual upstream materials retain their original attribution.

Updated 2026-07-23