Stars
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
A lightweight, powerful framework for multi-agent workflows
This repository contains the Hugging Face Agents Course.
A course on aligning smol models.
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Train transformer language models with reinforcement learning.
The official PyTorch implementation of Google's Gemma models
Practical Python Programming (course by @dabeaz)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
The fastai book, published as Jupyter Notebooks
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebooks using the Hugging Face libraries 🤗
Automatically Generated Notebooks for Colab
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
KPQA is an evaluation metric for generative question answering. (NAACL-21)
Advanced Python Mastery (course by @dabeaz)
Examples for https://github.com/optuna/optuna