Alternatives and similar repositories for amazon-ray

Users that are interested in amazon-ray are comparing it to the libraries listed below

• awslabs / ml-io
  A high performance data access library for machine learning tasks
  ☆74Updated last year
• aws-samples / aws-samples-for-ray
  ☆73Updated last year
• aws-samples / aws-efa-nccl-baseami-pipeline
  EFA/NCCL base AMI build Packer and CodeBuild/Pipeline files. Also base Docker build files to enable EFA/NCCL in containers
  ☆44Updated 2 years ago
• ucbrise / flor
  Flow with FlorDB 🌻
  ☆153Updated last week
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• aws / sagemaker-tensorflow-extensions
  SageMaker specific extensions to TensorFlow.
  ☆54Updated last year
• ray-project / ray_beam_runner
  Ray-based Apache Beam runner
  ☆41Updated 2 years ago
• aws / sagemaker-mxnet-inference-toolkit
  Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…
  ☆28Updated 2 years ago
• Vaishaal / numpywren
  Serverless Scientific Computing
  ☆87Updated 6 years ago
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• aws-samples / aws-do-eks
  Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…
  ☆61Updated 2 weeks ago
• aws / sagemaker-xgboost-container
  This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…
  ☆139Updated last week
• aws-neuron / aws-neuron-parallelcluster-samples
  ☆23Updated last year
• ray-project / deltacat
  A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to …
  ☆242Updated this week
• awslabs / mlmax
  Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…
  ☆74Updated last year
• aws / sagemaker-rl-container
  A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.
  ☆81Updated last year
• exoshuffle / cloudsort
  Exoshuffle-CloudSort
  ☆27Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• ray-project / ray_shuffling_data_loader
  A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…
  ☆18Updated 2 years ago
• ucbrise / cirrus
  Serverless ML Framework
  ☆106Updated 3 years ago
• cylondata / cylon
  Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
  ☆301Updated last year
• aws-samples / amazon-sagemaker-codeserver
  Hosting code-server on Amazon SageMaker
  ☆58Updated last year
• delta-incubator / deltatorch
  ☆58Updated last year
• awslabs / s3-connector-for-pytorch
  The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
  ☆180Updated this week
• aws / libfabric
  AWS Libfabric
  ☆42Updated 3 weeks ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• ray-project / plasma
  A minimal shared memory object store design
  ☆54Updated 8 years ago
• aws-samples / sagemaker-studio-docker-cli-extension
  SageMaker Studio Docker CLI Extension
  ☆13Updated last year
• feature-store / ralf
  ☆30Updated 3 years ago
• aws / sagemaker-hyperpod-recipes
  ☆70Updated last week