A PyTorch native library for large model training

Solve puzzles to improve your tinygrad skills!

Example fasthtml applications demonstrating a range of web programming techniques

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

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI

A highly efficient implementation of Gaussian Processes in PyTorch

Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.

LLM101n: Let's build a Storyteller

Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Video+code lecture on building nanoGPT from scratch

Implementation for MatMul-free LM.

Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"

GATor is a Graph Attention Network for object detection with relational reasoning

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

A collection of libraries to optimise AI model performances