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StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Differentiable Model Predictive Control on the GPU
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…
JuLS is a Julia Local Search solver that combines Constraint Based Local Search (CBLS) and Constraint Programming (CP)
Package for compiling and bundling julia binaries, specially trimmed ones
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Experimental package that simplifies errors and makes it easy to get help from LLMs.
[ICML2025] Official implementation of Efficient Online Reinforcement Learning for Diffusion Policies appearing in ICML 2025.
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
Sampling-based model predictive control on GPU with JAX/MJX
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
GPU-friendly, auto-differentiable LQR solver with JAX.
ElasticManager (extracted from ClusterManagers.jl)
Kappe is an efficient data migration tool designed to seamlessly convert and split ROS2 MCAP files.
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models
SAILOR is an inverse RL algorithm that learns world and reward models to search at test-time and recover from mistakes.
Julia REPL mode for selecting and running test files and testsets
Inspect, compare and align multiple grid maps in an intuitive & fast GUI
Web interface for browsing, search and filtering recent arxiv submissions
Janus-Series: Unified Multimodal Understanding and Generation Models
A Julia implementation of incomplete LU factorization with zero level of fill in.