neptune-ai / neptune-notebooksLinks
📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
☆34Updated last year
Alternatives and similar repositories for neptune-notebooks
Users that are interested in neptune-notebooks are comparing it to the libraries listed below
Sorting:
- JupyterLab extension to create GitHub commits & pull requests☆118Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated 11 months ago
- Manipulate your tabular data responsively and effectively within JupyterLab.☆135Updated 4 years ago
- A drag-and-drop dashboard editor for JupyterLab☆220Updated 2 years ago
- Python package for publishing Jupyter Notebooks as Medium blogposts☆148Updated 2 years ago
- Sample projects using Ploomber.☆86Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆81Updated last year
- ☆59Updated 3 years ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.☆57Updated 5 years ago
- ☆96Updated 2 years ago
- User's custom models boilerplate☆106Updated this week
- Save, reuse, and share code snippets using JupyterLab Code Snippets!☆168Updated 2 years ago
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆136Updated this week
- An abstraction layer for parameter tuning☆35Updated last year
- Deploy MLflow with HTTP basic authentication using Docker☆104Updated 2 months ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- RAPIDS data science. No setup required.☆21Updated 4 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆76Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- End-to-end deep learning on your desktop or server.☆105Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- ByteHub: making feature stores simple☆61Updated 4 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆100Updated last week
- Docker images for fastai☆179Updated 3 years ago