Alternatives and similar repositories for spark-ray-data-science

Users that are interested in spark-ray-data-science are comparing it to the libraries listed below

• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 9 months ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 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 9 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• thejat / mlops-notebooks
  ☆66Updated 6 months ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆143Updated 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…
  ☆86Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• datastacktv / kubeflow-introduction
  Code examples for the Introduction to Kubeflow course
  ☆14Updated 4 years ago
• noahgift / cloud-data-analysis-at-scale
  [Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Co…
  ☆141Updated 9 months ago
• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 5 years ago
• noahgift / databricks-zero-to-mlops
  ☆28Updated 3 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆27Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆150Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆71Updated 3 months ago
• adipolak / scaling-machine-learning-course
  Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…
  ☆23Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆20Updated 4 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆74Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆58Updated 3 years ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• nocomplexity / FreeAndOpenMachineLearning
  This project is created to promote and advocate the use of FOSS machine learning.
  ☆47Updated 6 months ago
• anovos / anovos
  Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
  ☆74Updated 2 years ago