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

Scrapy, a fast high-level web crawling & scraping framework for Python.

redroid (Remote-Android) is a multi-arch, GPU enabled, Android in Cloud solution. Track issues / docs here

A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux, Android, iOS and Web

vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Post-training scripts and samples for NVIDIA Cosmos ecosystem

Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.

The Retail Shopping Assistant is an AI-powered blueprint that provides a comprehensive interface for an intelligent retail shopping advisor. Built with LangGraph for agent orchestration, it feature…

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Classic papers and resources on recommendation

Best Practices on Recommendation Systems

A unified, comprehensive and efficient recommendation library

A framework for large scale recommendation algorithms.

Various demonstrations of vector embeddings and concepts.

Dexbotic: Open-Source Vision-Language-Action Toolbox

CoLearning Programming & Agentic AI with Python and TypeScript: The AI-Driven Way. Learn, build, and collaborate with intelligent AI agents — building systems where AI is the core.

Python Ransomware Tutorial - YouTube tutorial explaining code + showcasing the ransomware with victim/target roles

"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai

VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models

Chemcrow

📋 A list of open LLMs available for commercial use.

We, the WormGPT organization, created an AI to help you code and answer your questions.

Contexts Optical Compression

🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

A machine learning accelerator core designed for energy-efficient AI at the edge.