Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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).
CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️
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 toolkit to run Ray applications on Kubernetes
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 (Archived). Read README for more info.
LuxCore source repository
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
NanoRT, single header only modern ray tracing kernel.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Distribute and run AI workloads magically in Python, like PyTorch for ML infra.
GPU Raytracer from scratch in C++/CUDA
DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS
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