Alternatives and similar repositories for docker-mlflow-server

Users that are interested in docker-mlflow-server are comparing it to the libraries listed below

• soundsensing / mlflow-easyauth
  Deploy MLflow with HTTP basic authentication using Docker
  ☆104Updated last month
• jeremyjordan / ml-monitoring
  A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
  ☆233Updated last year
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆241Updated last year
• flmu / mlflow-tracking-server
  MLFLow Tracking Server based on Docker and AWS S3
  ☆70Updated last year
• treeverse / example-get-started
  Get started DVC project (NLP, random forest)
  ☆189Updated last year
• Toumash / mlflow-docker
  Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
  ☆261Updated last year
• dlabsai / mlflow-for-gcp
  ☆60Updated last year
• DougTrajano / mlflow-server
  MLflow Tracking Server with basic auth deployed in AWS App Runner.
  ☆36Updated 2 years ago
• bentoml / gallery
  BentoML Example Projects 🎨
  ☆141Updated 11 months ago
• ming0070913 / example-ml-project
  Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
  ☆105Updated 4 years ago
• Galileo-Galilei / kedro-mlflow
  A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
  ☆229Updated last month
• sachua / mlflow-docker-compose
  MLflow deployment with 1 command
  ☆215Updated this week
• mlflow / mlflow-export-import
  ☆207Updated last week
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 3 years ago
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆49Updated 4 years ago
• skops-dev / skops
  skops is a Python library helping you share your scikit-learn based models and put them in production
  ☆504Updated last week
• jmeisele / ml-ops
  Get your MLOps (Level 1) platform started and going fast.
  ☆127Updated 2 years ago
• jonathanreadshaw / ServingMLFastCelery
  Working example for serving a ML model using FastAPI and Celery
  ☆74Updated 4 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…
  ☆398Updated 11 months ago
• aganse / docker_mlflow_db
  A ready-to-run Docker container setup to quickly provide MLflow as a service, with PostgreSQL, AWS S3, and NGINX
  ☆31Updated 2 years ago
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆77Updated 3 years ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated last year
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆72Updated 7 months ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 5 years ago
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆73Updated 2 years ago
• facultyai / hiplot-mlflow
  HiPlot fetcher for experiments logged with MLflow
  ☆14Updated 3 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated last month
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• kedro-org / kedro-community
  Examples of data science projects created with Kedro.
  ☆173Updated 2 years ago
• sayakpaul / ml-deployment-k8s-fastapi
  This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
  ☆221Updated 3 years ago