Alternatives and similar repositories for kubeflow-introduction

Users that are interested in kubeflow-introduction are comparing it to the libraries listed below

• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 5 years ago
• vincentclaes / datajob
  Build and deploy a serverless data pipeline on AWS with no effort.
  ☆111Updated 2 years ago
• jeppe742 / DeltaLakeReader
  Read Delta tables without any Spark
  ☆47Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆53Updated 2 weeks ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• MrPowers / ceja
  PySpark phonetic and string matching algorithms
  ☆39Updated 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 …
  ☆52Updated 10 months ago
• alexcoca / DistributedKernelShap
  ☆12Updated 5 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…
  ☆86Updated 2 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆56Updated 5 months ago
• mikulskibartosz / check-engine
  Data validation library for PySpark 3.0.0
  ☆33Updated 3 years ago
• datacamp / viewflow
  Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.
  ☆125Updated 4 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆85Updated 2 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆105Updated last week
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 3 years ago
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆35Updated 2 years ago
• Snowflake-Labs / sfguide-recommender-pipeline
  Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
  ☆32Updated 4 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• neo4j-graph-analytics / ml-link-prediction-notebooks
  Notebooks for the ML Link Prediction Course
  ☆14Updated 5 years ago
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆39Updated 3 years ago
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• MrPowers / beavis
  Pandas helper functions
  ☆31Updated 2 years ago
• debussy-labs / debussy_concert
  Debussy is an opinionated Data Architecture and Engineering framework, enabling data analysts and engineers to build better platforms and…
  ☆28Updated 2 years ago
• jacopotagliabue / paas-data-ingestion
  Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
  ☆71Updated 3 years ago
• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆48Updated last year
• projectnessie / nessie-demos
  Demos for Nessie. Nessie provides Git-like capabilities for your Data Lake.
  ☆30Updated 2 weeks ago
• anovos / anovos
  Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
  ☆74Updated 2 years ago
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆114Updated 3 weeks ago