pytorch-made

Source

• Source kind: github-repository
• URL: https://github.com/karpathy/pytorch-made
• Discovery source: https://github.com/karpathy/pytorch-made
• License: NOASSERTION
• Distribution policy: public-summary-local-archive-only
• Public mirror status: summary-only
• Content hash: 0af21560306c2b48912821868ef067eccbfa79fbdb5c7c65f42479ee8bffad49
• First seen: 2026-05-15
• Last changed: 2026-05-15

Classification

• Primary category: Minimal implementations
• 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

pytorch-made This code is an implementation of $1byGermainetal.,2015.Thecoreideaisthatyoucanturnanauto-encoderintoanautoregressivedensitymodeljustbyappropriatelymaskingtheconnectionsintheMLP,orderingtheinputdimensionsinsomewayandmakingsurethatalloutputsonlydependoninputsearlierinthelist.Likeotherautoregressivemodels(char-rnn,pixelcnns,etc),evaluatingthelikelihoodisverycheap(asingleforwardpass),butsamplingislinearinthenumberofdimensions.!$1 The authors of the paper also published code $1, but it’s a bit wordy, sprawling and in Theano. He…

What This Teaches

• How a complex idea can be compressed into a minimal but working implementation.
• Useful as a reference style for serious small systems rather than decorative demos.

Why It Matters

This matters as part of Karpathy’s broader pattern: compress hard technical systems into readable, inspectable, working artifacts.

Repository Snapshot

• Full name: karpathy/pytorch-made
• Default branch: master
• HEAD: 81886ccc8270cdf3a2b32cbbca5c7feab422f907
• Stars at crawl: 593
• Forks at crawl: 93
• File count: 4
• README path: README.md
• License path: “
• Created: 2018-04-22T22:23:49Z
• Updated: 2026-04-02T23:17:26Z
• Pushed: 2018-12-08T16:36:26Z

Top-Level Structure

• [root]: 4

File Extension Profile

• .py: 2
• .md: 1
• .png: 1

Tags / Release-Like Markers

• No git tags found in the shallow local clone.

Sample File Tree

• made.png
• made.py
• README.md
• run.py

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.