Alternatives and similar repositories for ray-core-tutorial

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

• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆58Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆329Updated last year
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆184Updated last year
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆70Updated 2 months ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 4 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆55Updated 3 months ago
• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆78Updated 2 years ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• 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.
  ☆433Updated last year
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆143Updated 11 months ago
• jonathandinu / spark-ray-data-science
  Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …
  ☆52Updated 8 months ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆102Updated 2 years ago
• JiahaoYao / awesome-ray
  Ray - A curated list of resources: https://github.com/ray-project/ray
  ☆69Updated 3 months ago
• anyscale / Made-With-ML
  ☆27Updated 2 years ago
• awesome-mlops / awesome-ml-monitoring
  A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…
  ☆88Updated last year
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆83Updated 3 weeks ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 8 months ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆208Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆45Updated 2 months ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• delta-incubator / deltatorch
  ☆58Updated last year
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆37Updated 2 years ago