Popular GitHub Repositories for Zero Dependency

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

Instant voice cloning by MIT and MyShell. Audio foundation model.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

SGLang is a fast serving framework for large language models and vision language models.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

An open source implementation of CLIP.

Agent Zero AI framework

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

header only, dependency-free deep learning framework in C++14

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2E, F5-TTS, CosyVoice), with Whisper audio processing, RVC voice changer, YouTube download, UVR5 vocal isolation, and multilingual translation.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Official implementations for paper: Anydoor: zero-shot object-level image customization

Foundational model for human-like, expressive TTS

Simple PyTorch Tutorials Zero to ALL!

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

All course materials for the Zero to Mastery Machine Learning and Data Science course.

modular TypeScript framework