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

• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last week
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆45Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated last week
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years 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 last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• feast-dev / feast-aws-credit-scoring-tutorial
  Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
  ☆61Updated 3 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆107Updated 5 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆66Updated last year
• noahgift / databricks-zero-to-mlops
  ☆25Updated 2 years ago
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆74Updated 2 years ago
• PipelineAI / katacoda-notebooks
  O'Reilly Katacoda
  ☆56Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆113Updated last year
• dmatrix / mlflow-workshop-part-2
  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…
  ☆38Updated 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
• stanford-cs329s / stanford-cs329s.github.io
  ☆42Updated 2 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 2 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆54Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 2 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• feast-dev / feast-workshop
  A workshop with several modules to help learn Feast, an open-source feature store
  ☆84Updated last week
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆55Updated 2 years ago
• PacktPublishing / Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda
  Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt
  ☆25Updated 4 years ago
• anyscale / Made-With-ML
  ☆26Updated last year
• thejat / mlops-notebooks
  ☆64Updated this week
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆47Updated 3 years ago