Popular GitHub Repositories for Beam 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.

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

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

? ????? about ????, ??????, and ?????? ??? for free by designing, training, and deploying a real-time financial advisor LLM system ~ ?????? ???? + ????? & ??????? ?????????

LightSeq: A High Performance Library for Sequence Processing and Generation

Massively parallel rigidbody physics simulation on accelerator hardware.

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.

TFX is an end-to-end platform for deploying production ML pipelines

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

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

An open-source platform for Visual AI.

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

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

Adversarial skill embeddings for training reusable controllers for physically simulated characters.

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Reinforcement learning environments with musculoskeletal models