Highlights
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Stars
Port of the ProofNet formal theorem proving benchmark to Lean 4.27.0
SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
A fast and simple implementation of learning algorithms for robotics.
Suggested conventions and examples for Lean formalization of IMO problem statements
Unified framework for robot learning built on NVIDIA Isaac Sim
Automated Theorem Prover inspired by Aletheia. Claude Code for mathematicians.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs dir…
AI agents running research on single-GPU nanochat training automatically
ClickHouse® is a real-time analytics database management system
An evaluation benchmark for undergraduate competition math in Lean4, Isabelle, Coq, and natural language.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
ML experiment tracker. Simple alternative for neptune.ai or Tensorboard.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
SGLang is a high-performance serving framework for large language models and multimodal models.
A community database for the problems on the erdosproblems.com site
Minimalistic Neural Network Trainer for PyTorch inspired by Keras
Minimal open-source implementation of AlphaProof and HyperTree Proof Search.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…