datarevenue-berlin / OpenMLOps
☆703Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for OpenMLOps
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆448Updated 3 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆383Updated last year
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆433Updated 3 years ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆717Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆845Updated last year
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆375Updated 6 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆247Updated last month
- Kubeflow’s superfood for Data Scientists☆632Updated last year
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆717Updated this week
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆226Updated 8 months ago
- UnionML: the easiest way to build and deploy machine learning microservices☆337Updated last year
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆203Updated this week
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆184Updated 6 months ago
- CDF SIG MLOps☆601Updated 4 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆625Updated 2 weeks ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆495Updated last month
- MLOps tutorial using Python, Docker and Kubernetes.☆366Updated 3 weeks ago
- Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3☆244Updated 5 months ago
- Basic and advanced MLflow examples for many ML flavors☆212Updated 3 months ago
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,159Updated this week
- Coarse-grained lineage and tracing for machine learning pipelines.☆466Updated last year
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆663Updated 5 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,005Updated last month
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆224Updated 11 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆290Updated last month
- Joining the modern data stack with the modern ML stack☆192Updated last year
- MLOps Python Library☆116Updated 2 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆317Updated 2 months ago