Popular GitHub Repositories for Particle Physics

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A library for scientific machine learning and physics-informed learning

Massively parallel rigidbody physics simulation on accelerator hardware.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

An 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

An open-source platform for Visual AI.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Reinforcement learning environments with musculoskeletal models

Pre-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

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Machine learning algorithms for many-body quantum systems

Code accompanying my blog post: So, what is a physics-informed neural network?