User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Robust Speech Recognition via Large-Scale Weak Supervision

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

scikit-learn: machine learning in Python

Deep Learning for humans

⏬ Dumb downloader that scrapes the web

AI agents running research on single-GPU nanochat training automatically

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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 generative speech model for daily dialogue.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A toolkit for developing and comparing reinforcement learning algorithms.

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

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

结巴中文分词

OpenMMLab Detection Toolbox and Benchmark

Code and documentation to train Stanford's Alpaca models, and generate the data.

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

SGLang is a high-performance serving framework for large language models and multimodal models.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Train transformer language models with reinforcement learning.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Ongoing research training transformer models at scale

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.