Stars
An Open Source Machine Learning Framework for Everyone
🤗 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
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A library for efficient similarity search and clustering of dense vectors.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
💫 Industrial-strength Natural Language Processing (NLP) in Python
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Distributed transactional key-value database, originally created to complement TiDB
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.
Unsupervised text tokenizer for Neural Network-based text generation.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
High performance server-side application framework
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)