Alternatives and similar repositories for combinator

Users that are interested in combinator are comparing it to the libraries listed below

• SAME-Project / same-project
  ☆21Updated 3 years ago
• outerbounds / terraform-aws-metaflow
  Deploy production-grade Metaflow cloud infrastructure on AWS
  ☆68Updated 2 weeks ago
• iterative / terraform-provider-iterative
  ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
  ☆293Updated 11 months ago
• outerbounds / metaflow-tools
  Tools and utilities for operating Metaflow in production
  ☆62Updated 3 weeks ago
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆434Updated 2 years ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 5 years ago
• spotify / terraform-gke-kubeflow-cluster
  Terraform module for creating GKE clusters to run Kubeflow
  ☆215Updated 4 years ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆394Updated 3 years ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated last year
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 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
• kubeflow-kale / kale
  Kubeflow’s superfood for Data Scientists
  ☆647Updated last week
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆336Updated 2 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆201Updated 2 years ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆397Updated 10 months ago
• SeldonIO / tempo
  MLOps Python Library
  ☆120Updated 3 years ago
• awslabs / kubeflow-manifests
  KubeFlow on AWS
  ☆188Updated 2 months ago
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆154Updated this week
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆207Updated 3 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆185Updated last year
• vincentclaes / datajob
  Build and deploy a serverless data pipeline on AWS with no effort.
  ☆111Updated 2 years ago
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆469Updated 3 years ago
• davidmirror-ops / flyte-the-hard-way
  Prepare requirements and deploy Flyte using Helm
  ☆79Updated 7 months ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆56Updated 5 months ago
• datarevenue-berlin / OpenMLOps
  ☆705Updated 3 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 6 months ago