PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture Gallery.
58 implementations of synthetic learning problems from Jürgen Schmidhuber's papers (1989-2025). Pure numpy, laptop-runnable, paper-comparison metrics per stub. Algorithmic-lineage companion to hinton-problems.
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.