randomfun

Source

• Source kind: github-repository
• URL: https://github.com/karpathy/randomfun
• Discovery source: https://github.com/karpathy/randomfun
• License: NOASSERTION
• Distribution policy: public-summary-local-archive-only
• Public mirror status: summary-only
• Content hash: 01b5797df374a8adef8c7d9f6c468eb7183d5da2eff80bffc18d10fedf80b57b
• First seen: 2026-05-15
• Last changed: 2026-05-15

Classification

• Primary category: LLM training and inference systems
• Corpus source note: 2026-05-15-karpathy-public-corpus
• Project taxonomy: karpathy-project-taxonomy
• Idea map: karpathy-idea-map
• Topic hub: karpathy-public-work

Summary

Random fun Repo for random scripts and notebooks. License BSD.

What This Teaches

• How modern LLM training or inference can be reduced to compact, inspectable systems.
• Useful as a reference for building mental models of GPT-style models without hiding behind framework scale.

Why It Matters

This is high-priority for Vipin because it connects directly to LLM systems, evaluation, and research implementation judgment.

Repository Snapshot

• Full name: karpathy/randomfun
• Default branch: master
• HEAD: ae0363ada947b56e5484e2e4e755d2ec468c9687
• Stars at crawl: 1165
• Forks at crawl: 141
• File count: 20
• README path: README.md
• License path: “
• Created: 2015-08-04T18:05:15Z
• Updated: 2026-04-29T19:28:33Z
• Pushed: 2023-04-18T17:49:08Z

Top-Level Structure

• [root]: 14
• irust: 3
• lectures: 3

File Extension Profile

• .ipynb: 14
• .md: 2
• .jpeg: 1
• .jpg: 1
• .rs: 1
• .toml: 1

Tags / Release-Like Markers

• No git tags found in the shallow local clone.

Sample File Tree

• es.ipynb
• floats.ipynb
• irust/hello-rust/Cargo.toml
• irust/hello-rust/src/main.rs
• irust/readme.md
• knn_vs_svm.ipynb
• lectures/makemore/makemore_part1_bigrams.ipynb
• lectures/micrograd/micrograd_lecture_first_half_roughly.ipynb
• lectures/micrograd/micrograd_lecture_second_half_roughly.ipynb
• MicroGrad.ipynb
• min-char-rnn-nb.ipynb
• min-char-rnn-nb2.ipynb
• min-char-rnn-nb3.ipynb
• MixtureDensityNets.ipynb
• nand_to_uint.ipynb
• puppy.jpg
• README.md
• rnnlm.jpeg
• sexual_reproduction.ipynb
• transformer_unify.ipynb

Public Handling Notes

• EXTRACTED: This page records public metadata and a source-grounded summary.
• INFERRED: Full local preservation, when available, is for private/local use unless a license or explicit source policy makes public redistribution safe.
• Do not treat this page as permission to republish unlicensed source text or code wholesale.