25 Open source projects that are alternatives of or similar to Multi-Commander

Walkthroughs for DSL, AirSim, the Vector Institute, and more

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

GPU Raytracer from scratch in C++/CUDA

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Trajectory Planner in Multi-Agent and Dynamic Environments

An introductory tutorial about leveraging Ray core features for distributed patterns.

Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

A toolkit to run Ray applications on Kubernetes

Decision Intelligence platform for Traffic Crossing Signal Control

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

A framework for easy prototyping of distributed reinforcement learning algorithms

Buggregator is a beautiful, lightweight debug server build on Laravel that helps you catch your smpt, sentry, var-dump, monolog, ray outputs. It runs without installation on multiple platforms.

Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

A parallel framework for population-based multi-agent reinforcement learning.

Plane, 2D and 3D Ray objects for openFrameworks.It checks for the intersection of a ray with a segment, a sphere, a triangle, a plane, an ofPrimitive, an ofPolyline an with an ofMesh.

This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.

Debug your NodeJS & web code with Ray to fix problems faster

A Universal Deep Reinforcement Learning Framework

An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Modin: Speed up your Pandas workflows by changing a single line of code

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.