519 skills found · Page 1 of 18
TheAlgorithms / C Plus PlusCollection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
TheAlgorithms / CCollection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
bulletphysics / Bullet3Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
maziarraissi / PINNsPhysics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
google-deepmind / Dm ControlGoogle DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
lululxvi / DeepxdeA library for scientific machine learning and physics-informed learning
NVIDIA / PhysicsnemoOpen-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
LeCAR-Lab / ASAP[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
thunil / Physics Based Deep LearningLinks to works on deep learning algorithms for physics problems, TUM-I15 and beyond
SciML / ModelingToolkit.jlAn acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
erwincoumans / Tiny Differentiable SimulatorTiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
tum-pbs / Pbdl BookWelcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
SciML / NeuralPDE.jlPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
SciML / DiffEqFlux.jlPre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
TeleHuman / PBHCOfficial Implementation of "KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills"
jdtoscano94 / NABLA SciMLPhysics Informed Machine Learning Tutorials (Pytorch and Jax)
proroklab / VectorizedMultiAgentSimulatorVMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
keenon / NimblephysicsNimble: Physics Engine for Biomechanics and Deep Learning
iml-wg / HEPML LivingReviewLiving Review of Machine Learning for Particle Physics
peterdsharpe / NeuralFoilNeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.
