sachua / mlflow-docker-composeLinks
MLflow deployment with 1 command
☆206Updated last week
Alternatives and similar repositories for mlflow-docker-compose
Users that are interested in mlflow-docker-compose are comparing it to the libraries listed below
Sorting:
- Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3☆255Updated last year
- ☆179Updated 11 months ago
- aim-mlflow integration☆216Updated 2 years ago
- Deploy MLflow with HTTP basic authentication using Docker☆104Updated 3 weeks ago
- ☆703Updated 2 years ago
- Get your MLOps (Level 1) platform started and going fast.☆122Updated 2 years ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆216Updated 2 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆232Updated last year
- a docker image of the MLflow server component☆36Updated last week
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 9 months ago
- Basic and advanced MLflow examples for many ML flavors☆229Updated 11 months ago
- 📈 Log and track ML metrics, parameters, models with Git and/or DVC☆179Updated last week
- ClearML - Model-Serving Orchestration and Repository Solution☆151Updated 6 months ago
- BentoML Example Projects 🎨☆137Updated 6 months ago
- Get started DVC project (NLP, random forest)☆182Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆824Updated this week
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆218Updated 2 weeks ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆222Updated last month
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆149Updated last month
- A workshop with several modules to help learn Feast, an open-source feature store☆92Updated last month
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆469Updated last month
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆211Updated 8 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆392Updated 2 years ago
- MLflow Tracking Server with basic auth deployed in AWS App Runner.☆35Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in production☆491Updated last month
- Export and import MLflow experiments, runs or registered models☆82Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆394Updated 6 months ago