ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

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

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

Real-time PathTracing with global illumination and progressive rendering, all on top of the Three.js WebGL framework. Click here for Live Demo: https://erichlof.github.io/THREE.js-PathTracing-Renderer/Geometry_Showcase.html

A GLSL Path Tracer

LuxCore source repository

NanoRT, single header only modern ray tracing kernel.

A tiny software graphics and game engine

GPU Raytracer from scratch in C++/CUDA

CGA 3D 计算几何算法库 | 3D Compute Geometry Algorithm Library webgl three.js babylon.js等任何库都可以使用

A basic Ray Tracer that exploits numpy arrays and functions to work fast.

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

The old version of Buggregator, which uses Laravel framework, is no longer being actively developed. The new beta version, built with Spiral framework, is now available at https://github.com/buggregator/spiral-app and offers significant improvements in performance and stability, as well as a lighter docker image size of around 300mb.

The MARL extension for RLlib. A benchmark for research and industry.

A toolkit to run Ray applications on Kubernetes

Framework for Multi-Agent Deep Reinforcement Learning in Poker

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.

RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.

Enable Ray in all PHP files on your system

Distributed Keras Engine, Make Keras faster with only one line of code.