Alternatives and similar repositories for ray_tutorial

Users that are interested in ray_tutorial are comparing it to the libraries listed below

• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆340Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆59Updated 3 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆52Updated 2 years ago
• anyscale / academy
  Ray tutorials from Anyscale
  ☆628Updated 2 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆74Updated last year
• zynga / rl-bakery
  RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
  ☆96Updated last year
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆66Updated 3 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• astronomer / ray-airflow-demo
  ☆31Updated 4 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• anyscale / Made-With-ML
  ☆27Updated 2 years ago
• delta-incubator / deltatorch
  ☆59Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• mlcommons / mlcube
  MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
  ☆158Updated 3 weeks ago
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆58Updated 3 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆144Updated last year
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆44Updated 6 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆470Updated 3 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆53Updated this week
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆131Updated 3 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• saeid93 / seldon-inference-pipelines
  Examples of inference pipelines implemented using https://github.com/SeldonIO/seldon-core
  ☆14Updated 2 years ago
• jonathandinu / spark-ray-data-science
  Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …
  ☆53Updated 11 months ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• determined-ai / works-with-determined
  This repository contains example integrations between Determined and other ML products
  ☆48Updated last year