Popular GitHub Repositories for Statistical 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.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Bayesian Modeling and Probabilistic Programming in Python

Statistical Machine Intelligence & Learning Engine

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Probabilistic reasoning and statistical analysis in TensorFlow

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

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Massively parallel rigidbody physics simulation on accelerator hardware.

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A collection of research papers on decision, classification and regression trees with implementations.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

? Models for the spaCy Natural Language Processing (NLP) library

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