Popular GitHub Repositories for Simulations

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

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

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

Enable decision-making based on simulations

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

A 2D Particle Survival Environment for Deep Reinforcement Learning

Implementation of the paper "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?"

ALife simulation with Python: patterns, behavior, and cognition.

Simulation Streams is a programming paradigm designed to efficiently control and leverage Large Language Models (LLMs) for complex, dynamic simulations and agentic workflows.

Mobile Robot Control via Goal-Conditioned Reinforcement Learning

Artificial Intelligence in Transportation

An awesome list of multi-agent simulation frameworks, tools & other repositories

Simulation Architectures for Reinforcement Learning applied to Robotics

Summary - Comparative Study and Implementation of SLAM in ROS, Gazebo, CARLA and Prototype

Simulation Run Environment for Agents Assembly

REILLY is a Reinforcement Learning Library based on "Reinforcement Learning - An Introduction (second edition)" written by Sutton & Barto, developed with love by a foolish couple of computer scientists.

An interactive Streamlit dashboard offering insights into hypothetical portfolios with features like asset overview, historical performance, sentiment analysis, and predictive forecasting. All data is illustrative