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The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
Harbor is a framework for running agent evaluations and creating and using RL environments.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com/flyteorg/flyte-sdk
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Official Implementation of "Maximum Likelihood Reinforcement Learning (MaxRL)"
An agentic skills framework & software development methodology that works.
A benchmark for role-playing language models
Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
Native and Compact Structured Latents for 3D Generation
The official implementation of "GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation". (CVPR 2025)
[SIGGRAPH 2025] One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
OpenTinker is an RL-as-a-Service infrastructure for foundation models
2D and 3D physics engines focused on performance.
Direct port of the Bullet physics engine to JavaScript using Emscripten
Lightweight 3d physics engine for javascript
A lightweight 3D physics engine written in JavaScript.
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
Open-source implementation of AlphaEvolve
Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework.
Launch a development local Server with live reload feature for static & dynamic pages.
Powerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF
Godot Engine – Multi-platform 2D and 3D game engine
A project to improve skills of large language models
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.