outerbounds / full-stack-ML-metaflow-tutorialLinks
It's all in the name
β82Updated 2 years ago
Alternatives and similar repositories for full-stack-ML-metaflow-tutorial
Users that are interested in full-stack-ML-metaflow-tutorial are comparing it to the libraries listed below
Sorting:
- Code samples for the Effective Data Science Infrastructure bookβ116Updated 2 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β184Updated last year
- Start a data science project with modern toolsβ204Updated 2 years ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedroβ95Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β151Updated last year
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using thβ¦β119Updated 3 years ago
- β31Updated 2 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.β135Updated 2 years ago
- Tutorials on creating a reproducible and maintainable data science projectβ149Updated 3 years ago
- Explore and compare 1K+ accurate decision trees in your browser!β169Updated last year
- Tutorial for implementing data validation in data science pipelinesβ33Updated 3 years ago
- Example repo to kickstart integration with mlflow recipes.β45Updated 5 months ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutβ¦β75Updated last month
- Sample projects using Ploomber.β86Updated last year
- Notebooks that support blog posts and tech talks on Dask / Coiled.β48Updated 10 months ago
- A repository that showcases how you can use ZenML with Gitβ73Updated last week
- An example MLFlow projectβ49Updated last year
- Python package for publishing Jupyter Notebooks as Medium blogpostsβ149Updated 2 years ago
- Templates for your Kedro projects.β83Updated last week
- PyData London 2022 Tutorialβ69Updated 3 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.β65Updated 2 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ82Updated 4 years ago
- Demo on how to use Prefect with Dockerβ27Updated 3 years ago
- Complementary code for blog postsβ24Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.β84Updated 4 months ago
- Get started DVC project (NLP, random forest)β190Updated last year
- pipreqs with jupyter notebook supportβ71Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦β49Updated 4 years ago
- Dockerized ML Cookiecutterβ75Updated 2 years ago
- Data Analysis Baseline Libraryβ133Updated last year