Popular GitHub Repositories for Ab Initio Simulations

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

A differentiable PDE solving framework for machine learning

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

Brian is a free, open source simulator for spiking neural networks.

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

This repository is a compilation of all APT simulations that target many vital sectors,both private and governmental. The simulation includes written tools, C2 servers, backdoors, exploitation techniques, stagers, bootloaders, and many other tools that attackers might have used in actual attacks. These tools and TTPs are simulated here.

This repository is a compilation of all APT simulations that target many vital sectors,both private and governmental. The simulation includes written tools, C2 servers, backdoors, exploitation techniques, stagers, bootloaders, and many other tools that attackers might have used in actual attacks. These tools and TTPs are simulated here.

large population models

Easy whole-brain modeling for computational neuroscientists ??????

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

? Research Framework for Single and Multi-Players ? Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

螺旋熵减系统