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
  ☆46Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆55Updated 2 years ago
• delta-incubator / deltatorch
  ☆58Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 3 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆141Updated 7 months ago
• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆109Updated 5 months 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
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• orca3 / MiniAutoML
  Source code for "Enginneering Deep Learning Platforms"
  ☆52Updated last month
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆148Updated 11 months ago
• 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…
  ☆82Updated last year
• jonathandinu / spark-ray-data-science
  Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …
  ☆51Updated 4 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆77Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated 9 months ago
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆76Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated 3 weeks 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…
  ☆78Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• JiahaoYao / awesome-ray
  Ray - A curated list of resources: https://github.com/ray-project/ray
  ☆60Updated 4 months ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆207Updated 2 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated last week
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆51Updated 4 years ago
• SeldonIO / tempo
  MLOps Python Library
  ☆119Updated 3 years ago
• NVIDIA-Merlin / systems
  Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…
  ☆93Updated 11 months ago
• aws-samples / aws-samples-for-ray
  ☆72Updated 11 months ago