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

• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆45Updated last year
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 2 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 2 months ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆140Updated 5 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years 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…
  ☆81Updated last year
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆67Updated last year
• 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 last year
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• datastacktv / kubeflow-introduction
  Code examples for the Introduction to Kubeflow course
  ☆14Updated 4 years ago
• PipelineAI / katacoda-notebooks
  O'Reilly Katacoda
  ☆56Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 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…
  ☆19Updated 3 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• nocomplexity / FreeAndOpenMachineLearning
  This project is created to promote and advocate the use of FOSS machine learning.
  ☆43Updated this week
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• dmatrix / mlflow-workshop-part-3
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆35Updated 4 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• theomitsa / python
  ☆7Updated 6 years ago
• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 4 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• mlflow / recipes-regression-template
  Template repo for kickstarting recipes for regression use case
  ☆54Updated 3 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆105Updated last year
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆89Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆55Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• rapidsai / xgboost-conda
  Conda recipes for xgboost
  ☆12Updated last year