Popular GitHub Repositories for Zero Supervision

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

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

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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/

A system for quickly generating training data with weak supervision

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

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

[ICCV 2019] Monocular depth estimation from a single image

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)