iterative / workshop-uncool-mlopsLinks
Accompanies the uncool MLOps workshop
☆26Updated 3 years ago
Alternatives and similar repositories for workshop-uncool-mlops
Users that are interested in workshop-uncool-mlops are comparing it to the libraries listed below
Sorting:
- Dvc + Streamlit = ❤️☆40Updated 2 years ago
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 3 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆20Updated 2 years ago
- A list of projects relying on Iterative.AI tools to achieve awesomeness☆69Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- A repository that showcases how you can use ZenML with Git☆73Updated 4 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Automated Jupyter notebook testing. 📙☆41Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Get started DVC project☆64Updated last year
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- ☆31Updated 2 years ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆155Updated 2 weeks ago
- GitHub Action for CML setup☆31Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 5 months ago
- Templates for your Kedro projects.☆80Updated last week
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Deep Learning how-to's using Lance file format☆22Updated 6 months ago
- Code accompanying the "Debugging machine learning in production" talk☆30Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Render Jupyter Notebooks With Metaflow Cards☆31Updated last year
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 3 years ago
- Dataset registry DVC project☆85Updated last year