Unified framework for robot learning with multi-physics/renderer support
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Astronomy and astrophysics core library
A PyTorch Library for Accelerating 3D Deep Learning Research
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A contact solver for physics-based simulations involving ๐ shells, ๐ชต solids, ๐ชข rods, ๐งฑ rigid bodies and โณ sand.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Create Epic Math and Physics Animations & Study Notes From Text and Images.
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
For running psychology and neuroscience experiments
Building a Neural Network-Native Engine (3N). Python authoring, C++ runtime, Vulkan/WebGPU. Windows, Linux, Android and Web.
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Fast and flexible physics-based battery models in Python
A library for differentiable robotics on manifolds.
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
OpenMC Monte Carlo Code
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
SunPy - Python for Solar Physics
Hybrid ML + physics model of the Earth's atmosphere
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
A Python interface for the Generic Mapping Tools.
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
Miami InSAR time-series software in Python
Physics-Informed Neural networks for Advanced modeling
Observer Patch Holography: finite observer consensus, machine-checked mathematics and reproducible models for reconstructing physical structure.
An open source Python package for plasma research and education
Machine learning algorithms for many-body quantum systems
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Processing and gridding spatial data, machine-learning style
A python library for quantum information and many-body calculations including tensor networks.
Main yt repository
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A friendly package for Kepler & TESS time series analysis in Python.
Geophysical Inversion and Modeling Library :earth_africa:
Code as World: Agentic Discovery of Executable World Representations for Physical Reasoning
BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.
Typed decisions from a frozen language model and a small physics engine: calibrated probabilities, conformal sets, 73k context, images.
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Code and data records: Combining symbolic regression and turbulence physics to develop a compact inner-layer production-dissipation closure โ Jiang & Rosic, Physics of Fluids 38, 095140 (2026), Featured Article. doi:10.1063/5.0347368
An open interactive toolkit that accelerates human and agentic physics-based Real2Sim of Robot Manipulation Tasks
Deterministic Clash Royale simulator and a reinforcement-learning agent for 2.6 Hog Cycle. Integer-exact physics from client data, 1,600+ tests.
Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
Fine-grained robot control with Jev, physics previews, and configurable LIBERO tasks.
Verifier-first transfer-matrix workbench for multilayer optics and differentiable inverse design
Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
One learned latent for geometry + physics + manufacturability: give it a box and a load, get a solver-certified bracket. SE(3)-equivariant field model, immersed FEA, live 3D designer.
Create Epic Math and Physics Animations & Study Notes From Text and Images.
Does your AI hydrologic model conserve mass, energy and momentum?
The FIRST unified, physics-guided toolbox for mmWave radar Human Pose Estimation.
AI-native open-source finite-element platform connecting engineering, computation, data, and AI.