Learn how to develop, deploy and iterate on production-grade ML applications.
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Updated
Mar 4, 2026 - Jupyter Notebook
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Learn how to develop, deploy and iterate on production-grade ML applications.
python data-science machine-learning natural-language-processing deep-learning pytorch data-engineering ray data-quality distributed-training mlops distributed-ml llms llmops
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
python data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed hyperparameter-optimization ray hyperparameter-search serving rllib large-language-models llm llm-serving llm-inference
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
machine-learning spark deep-learning uber mxnet tensorflow mpi keras pytorch machinelearning baidu deeplearning ray
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
python rust distributed-systems machine-learning big-data etl arrow distributed-computing distributed embeddings artificial-intelligence data-engineering parquet ray iceberg multimodal ai-pipeline huggingface ai-engineering
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).
mysql python emr aws data-science lambda aws-lambda athena etl pandas data-engineering redshift ray apache-parquet amazon-athena apache-arrow aws-glue modin glue-catalog amazon-sagemaker-notebook
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! ⭐️
git platform ai model space deploy prompt inference dataset ray management-system asset-management finetune huggingface llm deepseek
Learn how to design, develop, deploy and iterate on production-grade ML applications.
python data-science machine-learning natural-language-processing deep-learning pytorch data-engineering ray data-quality mlops distributed-ml llms
A toolkit to run Ray applications on Kubernetes
kubernetes machine-learning deep-learning distributed-computing orchestration artificial-intelligence ray
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
python machine-learning tensorflow numpy scikit-learn pandas pytorch xgboost lightgbm tensor dask ray dataframe statsmodels joblib
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
webgl threejs global-illumination path-tracer realtime path tracing raytracing tracer ray pathtracing three-js
A toy physically based GPU path tracer (C++/OpenGL/GLSL)
windows linux opengl gpu path-tracer glsl path tracing raytracer bsdf tracer bvh ray pathtracing disney ray-tracing pathtracer path-tracing
A comprehensive guide to building RAG-based LLM applications for production.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
LuxCore source repository
visualization opencl ray-tracer cuda raytracer raytracing gpu-computing ray ray-tracing 3d-graphics rtx optix pathtracer path-tracing bidirectional-path-tracing luxrender luxcorerender
RayLLM - LLMs on Ray (Archived). Read README for more info.
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
python training kubernetes infrastructure aws data-science machine-learning serverless evaluation gcp inference pytorch distributed artificial-intelligence ray data-processing observability
NanoRT, single header only modern ray tracing kernel.
One local debugging server, one binary: catches errors, dumps, emails, logs, profiles and HTTP from your app in development. Speaks Sentry, Ray, VarDumper, Monolog, SMTP, XHProf. Mock server, Xdebug in the browser, MCP for AI agents.
debugging golang php laravel symfony sentry mcp monolog mock-server xdebug developer-tools smtp-server xhprof ray local-development fake-smtp-server var-dumper email-testing http-dump mcp-server
GPU Raytracer from scratch in C++/CUDA
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