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
  ☆45Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆55Updated 2 years ago
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆114Updated last year
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated 7 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• feast-dev / feast-aws-credit-scoring-tutorial
  Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
  ☆63Updated 3 years ago
• JiahaoYao / awesome-ray
  Ray - A curated list of resources: https://github.com/ray-project/ray
  ☆51Updated last month
• 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…
  ☆72Updated 9 months ago
• mlflow / recipes-regression-template
  Template repo for kickstarting recipes for regression use case
  ☆54Updated 2 months ago
• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆101Updated 2 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 …
  ☆47Updated last month
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last month
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated last month
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆53Updated 5 months 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.
  ☆378Updated last year
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆51Updated 4 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆76Updated last year
• anyscale / Made-With-ML
  ☆27Updated last year
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆147Updated 8 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 6 months ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆35Updated last year
• adipolak / ml-with-apache-spark
  A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…
  ☆81Updated last year
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆126Updated 3 years ago
• iterative / cml_dvc_case
  ☆17Updated last year
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆113Updated 11 months ago
• kedro-org / awesome-kedro
  Plugins, extensions, case studies, articles, and video tutorials for Kedro
  ☆71Updated 2 months ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆140Updated 4 months ago