Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
scikit-learn: machine learning in Python
A high-throughput and memory-efficient inference and serving engine for LLMs
A collection of learning resources for curious software engineers
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Making large AI models cheaper, faster and more accessible
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TensorFlow code and pre-trained models for BERT
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Minimal examples of data structures and algorithms in Python
Code for the paper "Language Models are Unsupervised Multitask Learners"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Best Practices on Recommendation Systems
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Train transformer language models with reinforcement learning.
Python Implementation of Reinforcement Learning: An Introduction
100+ Chinese Word Vectors 上百种预训练中文词向量
An open-source tool-augmented conversational language model from Fudan University
A framework for few-shot evaluation of language models.
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