aporia-ai / mlplatform-workshopLinks
π« Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
β442Updated 3 years ago
Alternatives and similar repositories for mlplatform-workshop
Users that are interested in mlplatform-workshop are comparing it to the libraries listed below
Sorting:
- The Fuzzy Labs guide to the universe of open source MLOpsβ469Updated last month
- ML pipeline orchestration and model deployments on Kubernetes.β435Updated last year
- β704Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated 9 months ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.β233Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β392Updated 2 years ago
- π² A curated list of MLOps projects, tools and resourcesβ186Updated last year
- MLOps tutorial using Python, Docker and Kubernetes.β398Updated 8 months ago
- π¬ modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud stoβ¦β393Updated 5 months ago
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β719Updated last year
- CDF SIG MLOpsβ626Updated 7 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ869Updated 2 years ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ335Updated last year
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ294Updated 7 months ago
- A Collection of GitHub Actions That Facilitate MLOpsβ208Updated 2 years ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β264Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavorsβ229Updated 11 months ago
- End to End example integrating MLFlow and Seldon Coreβ52Updated 4 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β182Updated last year
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β612Updated 2 years ago
- Joining the modern data stack with the modern ML stackβ197Updated 2 years ago
- A simple guide to MLOps through ZenML and its various integrations.β186Updated last year
- Template repository for data science lifecycle projectβ193Updated 5 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β320Updated 10 months ago
- Software Architecture for ML engineersβ410Updated 3 years ago
- End to end MLRun demosβ92Updated last month
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ236Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three β¦β240Updated 4 years ago
- Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3β255Updated last year
- A workshop with several modules to help learn Feast, an open-source feature storeβ92Updated last month