SAME-Project / same-project
☆20Updated last year
Related projects ⓘ
Alternatives and complementary repositories for same-project
- Combinator.ml's central repo, documentation and website☆28Updated 2 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆84Updated 6 months ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆17Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 2 months ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 2 years ago
- A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!☆67Updated last month
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.☆45Updated last month
- Deploy production-grade Metaflow cloud infrastructure on AWS☆58Updated 2 months ago
- The easiest way to integrate Kedro and Great Expectations☆53Updated last year
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- real-time data + ML pipeline☆54Updated 2 weeks ago
- This repository is no longer maintained.☆25Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆64Updated 3 months ago
- Build your feature store with macros right within your dbt repository☆37Updated last year
- Automated Jupyter notebook testing. 📙☆41Updated 9 months ago
- Customizable GitOps template for Kubeflow on AWS EKS☆10Updated 3 years ago
- Data science tool for creating and deploying pipelines with versioned data☆45Updated 4 months ago
- IbisML is a library for building scalable ML pipelines using Ibis.☆93Updated last month
- Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...☆134Updated last month
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated 6 months ago
- Open Source Model Risk Management☆21Updated 2 years ago
- Ray-based Apache Beam runner☆42Updated last year
- Machine Learning Projects with Flytekit☆35Updated last year
- An extension for Jupyter Lab & Jupyter Notebook to monitor Apache Spark (pyspark) from notebooks☆46Updated 9 months ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆37Updated 8 months ago
- Kustomize manifest to deploy kubeflow pipelines in AWS☆21Updated 3 years ago
- GitHub Action for CML setup☆25Updated 5 months ago