Alternatives and similar repositories for ray-airflow-demo

Users that are interested in ray-airflow-demo are comparing it to the libraries listed below

• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆47Updated last year
• datacamp / viewflow
  Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.
  ☆125Updated 4 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆41Updated 2 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆53Updated 2 weeks ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• jeppe742 / DeltaLakeReader
  Read Delta tables without any Spark
  ☆47Updated last year
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• jupyterhub / jupyterhub-on-hadoop
  Documentation and resources for deploying JupyterHub on Hadoop
  ☆19Updated 6 years ago
• flyteorg / flytesnacks
  Flyte Documentation 📖
  ☆84Updated 8 months ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• RedisAI / redisai-examples
  RedisAI showcase
  ☆57Updated last year
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• coiled / dask-bigquery
  ☆48Updated last year
• MaterializeInc / demos
  Demos of Materialize, the operational data warehouse.
  ☆52Updated 8 months ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆80Updated 3 years ago
• comet-ml / comet-for-mlflow
  Comet-For-MLFlow Extension
  ☆66Updated 2 months ago
• zero323 / pyspark-asyncactions
  Asynchronous actions for PySpark
  ☆47Updated 4 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 3 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆56Updated 5 months ago
• dremio-hub / dremio-flight-connector
  Dremio Flight connector. Access Dremio using Arrow flight
  ☆39Updated 4 years ago
• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆79Updated 2 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 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
• lightbend / kubeflow-recommender
  Kubeflow example of machine learning/model serving
  ☆37Updated 5 years ago
• delta-incubator / deltatorch
  ☆59Updated last year
• ForestFlow / ForestFlow
  ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
  ☆73Updated last year
• apache / incubator-liminal
  Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …
  ☆145Updated last year