raiyanyahya/how-to-train-your-gpt
▲ +6 ★ this week
Build a modern LLM from scratch. Every line commented. Explained like we are five.
A ternary, zero-heap tiny language model that runs inside a $2 microcontroller — bit-exact Python <-> C99 <-> Cortex-M3 (QEMU) parity. Apache-2.0.
$ git clone https://github.com/TilelliLab/atome-lm.git▲ +6 ★ this week
Build a modern LLM from scratch. Every line commented. Explained like we are five.
▲ +4 ★ this week
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
▲ +1 ★ this week
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
▲ +2 ★ this week
Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
pykoi: Active learning in one unified interface
▲ +1 ★ this week
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch training projects in seconds. Like create-next-app but for language models.
Data from GitHub · snapshot Nov 13, 2026