Open-source L2 ADAS stack powered by end-to-end AI for autonomous driving
Tiny, hackable deep learning framework - the sweet spot between PyTorch and micrograd
Lightning-fast LLM inference engine built from scratch in 1,200 lines of Python
AI-powered audio-to-MIDI transcription plugin for DAWs
High-performance neural network inference framework optimized for mobile platforms
Harvard's open textbook on Machine Learning Systems — from edge to cloud, TinyML to deep learning
NVIDIA's high-performance deep learning inference SDK for GPU-accelerated AI deployment
An open, intuition-first textbook covering maths, CS, and AI from the ground up — with an MCP server built in.
Facebook AI Research's state-of-the-art object detection and segmentation library
Open-source autonomous driving simulator powered by Unreal Engine for AI research
