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The original was posted on /r/machinelearning by /u/tanishqkumar07 on 2025-06-12 12:33:31+00:00.

Hey friends, the world needs more serious AI researchers. Many AI/LLM beginners mentioned to me that they learn better from implementations than from papers/math, but existing open-source examples rarely go beyond basic nanoGPT-level demos.

To help bridge the gap, I spent the last two months full-time reimplementing and open-sourcing a self-contained implementation of most modern deep learning techniques from scratch. The result is beyond-nanoGPT, containing 20k+ lines of handcrafted, minimal, and extensively annotated PyTorch code for your educational pleasure.

It contains a clean, working implementation + demo of everything from KV caching to linear attention to diffusion Transformers to AlphaZero to even a minimal coding agent that can make end-to-end PRs autonomously.

I’d love feedback on how to make it more helpful for people interested in transitioning into deep learning research. I will continue to add features and maintain the repo for the foreseeable future. The roaring 2020s are a surreal time to be alive, and we need all hands on deck.