Gold I
1,610 Elo
- #3,416 on the ladder
- −6 today · −68 this week
- Peak 1,825
Code and documentation to train Stanford's Alpaca models, and generate the data.
tatsu-lab/stanford_alpaca is #3,416 on the bestofgithub Elo ladder, in Gold I, with a rating of 1,610 (−68 this week). It has 30,221 stars.
1,610 Elo
30,221
git clone https://github.com/tatsu-lab/stanford_alpaca.gitAn Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
git clone https://github.com/OptimalScale/LMFlow.gitDeep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
git clone https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap.gitOpen Source Neural Machine Translation and (Large) Language Models in PyTorch
git clone https://github.com/OpenNMT/OpenNMT-py.gitA framework for few-shot evaluation of language models.
pipx install lm_evalGoogle AI 2018 BERT pytorch implementation
git clone https://github.com/codertimo/BERT-pytorch.git🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
git clone https://github.com/dair-ai/Prompt-Engineering-Guide.gitLoading README…