Top 17 ray open source projects

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

✭ 2,308

python javascript cython C++shell c machine-learning pytorch tensorflow numpy pandas scikit-learn xgboost tensor dataframe lightgbm dask ray statsmodels joblib

Horovod

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

✭ 11,943

python C++CMake shell Cuda Dockerfile deep-learning machine-learning pytorch tensorflow keras spark deeplearning mxnet machinelearning baidu mpi uber ray

Modin

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

✭ 6,639

python sql pandas distributed datascience dataframe ray pandas-on-ray modin

Ray

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.

Multi-Commander

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

✭ 67

python javascript HTML reinforcement-learning multi-agent ray deecamp cityflow traffic-signal-control

a-minimalist-guide

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

✭ 37

C++python shell ubuntu anaconda tensorflow slurm tutorials torch nvidia ray unreal-engine-4 airsim mujoco rllib robomaster-sdk brax robomaster-s1 dji-tello-talent

GPU-Pathtracer

GPU Raytracer from scratch in C++/CUDA

✭ 326

C++c opengl optimization cuda raytracer raytracing bvh ray mitsuba svgf sbvh compressed-wide-bvh

codeflare

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

✭ 163

Jupyter Notebook python Dockerfile data-science machine-learning sklearn pipelines hyperparameter-optimization ray workflows automl

ray tutorial

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

✭ 67

Jupyter Notebook Dockerfile distributed-systems scikit-learn sharding profiling ray futures pattern-language task-parallelism actor-pattern rllib ray-tutorial introductory-tutorial

kuberay

A toolkit to run Ray applications on Kubernetes

✭ 146

go python Makefile shell Mustache Dockerfile kubernetes machine-learning deployment apache ray

torchx

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.

✭ 165

python kubernetes components machine-learning airflow deep-learning slurm pipelines pytorch ray aws-batch distributed-training

distributedRL

A framework for easy prototyping of distributed reinforcement learning algorithms

✭ 93

python reinforcement-learning zeromq dqn ray distributed-reinforcement-learning ape-x

app

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.

✭ 259

PHP Vue Blade debugger docker laravel crash-reporting error-monitoring sentry websocket monolog smtp-server swoole dump vardumper ray email-client octane

malib

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

✭ 341

python games reinforcement-learning parallel distributed multiagent ray

ofxRaycaster

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.

✭ 54

Makefile C++QML c plane openframeworks addon intersection ray raycasting intersection-point 2d-ray intersection-methods

node-ray

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

✭ 39

typescript javascript shell nodejs debugging web-development npm-package ray

gym example

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

✭ 25

python Jupyter Notebook machine-learning reinforcement-learning ray gym-environment rllib

1-17 of 17 ray projects