Learn AI Engineering! Learn it. Build it. Ship it for others.
Personal AI, On Personal Devices
π Geometric Computer Vision Library for Spatial AI
3D modeling in Python, built for LLMs.
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Build and run agents you can see, understand and trust.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Build resilient agents.
The agent engineering platform.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
An agent runtime and tool protocol for principled agent concurrency
Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.
Neural Networks: Zero to Hero
Build Real-Time Knowledge Graphs for AI Agents
The batteries-included agent harness.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
AgenticX is a unified, production-ready multi-agent platform β Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Wan: Open and Advanced Large-Scale Video Generative Models
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
A lightweight, powerful framework for multi-agent workflows
An Open Source Machine Learning Framework for Everyone
scikit-learn: machine learning in Python
"RAG-Anything: All-in-One RAG Framework"
A practical hardware and software setup for a compact RL-powered biped robot.
Graph-Native Infrastructure for Context and Accountable AI Systems
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Mundo: Customized World Model
π§ Unified and Stable RSI Platform
π€ smolagents: a barebones library for agents that think in code.
This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
π§± Experimental library for building inference engines
Build distributed, production-grade, long-running agents.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
The ultimate LLM/AI application development framework in Go.
RL training environments for Microduck (mjlab)
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
TokenSpeed is a speed-of-light LLM inference engine.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Implement a reasoning LLM in PyTorch from scratch, step by step
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
Developer Asset Hub for NVIDIA Nemotron β A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Source code for the X Recommendation Algorithm
Integrate cutting-edge LLM technology quickly and easily into your apps
An Application Framework for AI Engineering
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms β from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
WorldPlay2: Extending Real-Time Interactive World Models in Control and Horizon
Lux is an open-source framework for building multi-agent, swarmed intelligence built by Spectral Labs. With Beams, Prisms, Lenses, and Signals, it orchestrates AI-driven workflows to create truly autonomous organizations.
Build LLM-powered applications in Ruby