There are 8 repositories under ray topic.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Learn how to design, develop, deploy and iterate on production-grade ML applications.
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 toy physically based GPU path tracer (C++/OpenGL/GLSL)
A comprehensive guide to building RAG-based LLM applications for production.
RayLLM - LLMs on Ray
LuxCore source repository
NanoRT, single header only modern ray tracing kernel.
A toolkit to run Ray applications on Kubernetes
A tiny software graphics and game engine
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
GPU Raytracer from scratch in C++/CUDA
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
A basic Ray Tracer that exploits numpy arrays and functions to work fast.
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Buggregator is a lightweight, standalone server that offers a range of debugging features for PHP applications.
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.
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Notebooks for the O'Reilly book "Learning Ray"
Examples on how to use LangChain and Ray
#Cub3D: This project is a 3D game created from scratch written in C using an old graphic library mini-libx, presented with an old technology raycasting to make the 3D feeling looks pretty good
Distributed Keras Engine, Make Keras faster with only one line of code.
SQL optimizer and rewriter for laravel. - laravel 的 SQL 优化器和重写器。