Ecosyste.ms: Awesome

https://github.com/cyoon1729/distributedRL

A framework for easy prototyping of distributed reinforcement learning algorithms

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

Last synced: 03 Jul 2024

https://github.com/run-house/runhouse

The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.

api artificial-intelligence aws azure collaboration data-science deployment distributed fastapi gcp infrastructure machine-learning middleware observability python pytorch ray sagemaker serverless

Last synced: 03 Jul 2024

https://github.com/torchpipe/torchpipe

An Alternative for Triton Inference Server. Boosting DL Service Throughput 1.5-4x by Ensemble Pipeline Serving with Concurrent CUDA Streams for PyTorch/LibTorch Frontend and TensorRT/CVCUDA, etc., Backends

cvcuda deployment inference pipeline-parallelism pytorch ray ray-serve serve serving tensorrt torch2trt triton-inference-server

Last synced: 01 Jul 2024

https://github.com/Alyetama/Ray-Image

Fast image compression for large number of images with Ray library

compression image-compression jpeg preprocessing python ray

Last synced: 27 Jun 2024

https://github.com/EricSteinberger/PokerRL

Framework for Multi-Agent Deep Reinforcement Learning in Poker

deep-learning framework gym-environment poker ray reinforcement-learning reinforcement-learning-algorithms research

Last synced: 13 Jun 2024

https://github.com/awslabs/data-on-eks

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

aws-eks eks jupyterhub kubeflow kubernetes ml mlflow ray spark terraform

Last synced: 12 Jun 2024

https://github.com/wintercms/wn-ray-plugin

Adds support for the Ray debugging tool to Winter CMS

debugging hacktoberfest laravel plugin ray wintercms

Last synced: 10 Jun 2024

https://github.com/BrosnanYuen/RayBNN_Raytrace

Ray tracing library using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

arrayfire cuda gpu gpu-computing opencl parallel parallel-computing ray ray-tracing raybnn raylib raytracer raytracing rust

Last synced: 08 Jun 2024

https://github.com/knightcrawler25/GLSL-PathTracer

A GLSL Path Tracer

bsdf bvh disney glsl gpu linux opengl path path-tracer path-tracing pathtracer pathtracing ray ray-tracing raytracer tracer tracing windows

Last synced: 05 Jun 2024

https://github.com/run-ai/genv

GPU environment and cluster management with LLM support

bash container-runtime containers data-science deep-learning docker gpu gpus jupyter-notebook jupyterlab-extension k8s kubernetes llm-inference llms nvidia-gpu ollama ray vscode vscode-extension zsh

Last synced: 05 Jun 2024

https://github.com/pytorch/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.

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

Last synced: 01 Jun 2024

https://github.com/maxpumperla/learning_ray

Notebooks for the O'Reilly book "Learning Ray"

data-science deep-learning distributed-computing machine-learning notebook python ray

Last synced: 22 May 2024

https://github.com/ray-project/kuberay

A toolkit to run Ray applications on Kubernetes

apache deep-learning kubernetes machine-learning ray

Last synced: 22 May 2024

https://github.com/ray-project/ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

deep-learning distributed-machine-learning generative-ai llm llm-inference llm-serving ray ray-data ray-distributed ray-serve ray-train ray-tune

Last synced: 22 May 2024

https://github.com/PrefectHQ/prefect-ray

Prefect integrations with Ray

parallel prefect python ray

Last synced: 22 May 2024

https://github.com/ray-project/ray-llm

RayLLM - LLMs on Ray

distributed-systems large-language-models llm llm-inference llm-serving llmops ray serving transformers

Last synced: 22 May 2024

https://github.com/ray-project/langchain-ray

Examples on how to use LangChain and Ray

fine-tuning-t5 generative-ai langchain langchain-python llm llms ray ray-air ray-distributed

Last synced: 22 May 2024

https://github.com/GokuMohandas/Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

data-engineering data-quality data-science deep-learning distributed-ml distributed-training llms machine-learning mlops natural-language-processing python pytorch ray

Last synced: 18 May 2024

https://github.com/ryantd/veloce

WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.

data-parallelism deep-learning distributed distributed-computing heterogeneity model-parallelism parameter-server pytorch ray sparsity

Last synced: 17 May 2024

https://github.com/lighttransport/nanort

NanoRT, single header only modern ray tracing kernel.

bdpt bvh pathtracing ray raytracing

Last synced: 14 May 2024

https://github.com/jonathandinu/spark-ray-data-science

Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.

artificial-intelligence data-science distributed-computing machine-learning python ray spark

Last synced: 14 May 2024

https://github.com/GokuMohandas/mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

data-engineering data-quality data-science deep-learning distributed-ml llms machine-learning mlops natural-language-processing python pytorch ray

Last synced: 13 May 2024

https://github.com/mars-project/mars

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

dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost

Last synced: 12 May 2024

https://github.com/ray-project/ray

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.

automl data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search java llm-serving machine-learning model-selection optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow

Last synced: 09 May 2024

https://github.com/ray-project/llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

anyscale fine-tuning llama2 llms machine-learning openai ray serving

Last synced: 04 May 2024

https://github.com/horovod/horovod

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

baidu deep-learning deeplearning keras machine-learning machinelearning mpi mxnet pytorch ray spark tensorflow uber

Last synced: 28 Apr 2024

https://github.com/aws/aws-sdk-pandas

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).

amazon-athena amazon-sagemaker-notebook apache-arrow apache-parquet athena aws aws-glue aws-lambda data-engineering data-science emr etl glue-catalog lambda modin mysql pandas python ray redshift