Popular GitHub Repositories for Zero Cost

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

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

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/

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

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

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.

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

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)

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks