Alternatives and similar repositories for redis-feast-gcp

Users that are interested in redis-feast-gcp are comparing it to the libraries listed below

• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆78Updated 3 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆70Updated 2 months ago
• feast-dev / feast-aws-credit-scoring-tutorial
  Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
  ☆66Updated 3 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆208Updated 2 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆198Updated 2 years ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 4 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated last month
• ksalama / ucaip-labs
  Code labs for Vertex AI
  ☆46Updated 3 years ago
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆142Updated 9 months ago
• coiled / dask-bigquery
  ☆46Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• jacopotagliabue / paas-data-ingestion
  Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
  ☆71Updated 3 years ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 2 months ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆47Updated last year
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated 2 years ago
• redis-developer / redis-nvidia-recsys
  Three examples of recommendation system pipelines with NVIDIA Merlin and Redis
  ☆61Updated 3 months ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆394Updated 2 years ago
• logicalclocks / feature-store-api
  Python - Java/Scala API for the Hopsworks feature store
  ☆54Updated last week
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆61Updated 4 years ago
• fal-ai / dbt_feature_store
  Build your feature store with macros right within your dbt repository
  ☆39Updated 2 years ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 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…
  ☆113Updated last year
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago