llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
81kllm-datasets. Curated list of datasets and tools for post-training.
4.7kllm-autoeval. Automatically evaluate your LLMs in Google Colab
691graph-neural-network-course. Free hands-on course about Graph Neural Networks using PyTorch Geometric.
453linear-programming-course. Hands-on course about linear programming and mathematical optimization.
113blog. https://mlabonne.github.io/blog/
104mlabonne.
68how-to-data-science. Scripts, notebooks, and articles about data science in general.
55chessllm. Jupyter Notebook
46graph-datasets. A list of graph datasets for machine learning projects including Graph Neural Networks.
31tinytuner. 🐜🔧 A minimalistic tool to fine-tune your LLMs
19TransformerLens. A library for mechanistic interpretability of GPT-style language models
9mergekit. Tools for merging pretrained large language models.
9laserRMT. This is our own implementation of 'Layer Selective Rank Reduction'
5orpo. Official repository for ORPO
3FastChat. An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
3liquid-s4. Liquid Structural State-Space Models
3lm-evaluation-harness. A framework for few-shot evaluation of autoregressive language models.
2gorilla-custom. Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
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