capitalone / rubicon-mlLinks
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
☆139Updated last week
Alternatives and similar repositories for rubicon-ml
Users that are interested in rubicon-ml are comparing it to the libraries listed below
Sorting:
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆83Updated 2 months ago
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.☆155Updated 2 months ago
- IbisML is a library for building scalable ML pipelines using Ibis.☆118Updated 4 months ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated 3 weeks ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.☆66Updated this week
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆74Updated 2 years ago
- DataFrame support for scikit-learn.☆63Updated 2 months ago
- Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...☆145Updated last month
- Test-Driven Data Analysis Functions☆303Updated 2 months ago
- An abstraction layer for parameter tuning☆35Updated 3 weeks ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆226Updated 5 years ago
- Primrose modeling framework for simple production models☆33Updated last year
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆36Updated 3 years ago
- Tutorial for implementing data validation in data science pipelines☆33Updated 3 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 5 months ago
- Type System for Data Analysis in Python☆214Updated 10 months ago
- JupyterLab extension to create GitHub commits & pull requests☆119Updated last year
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- Dask integration for Snowflake☆30Updated 4 months ago
- a python grammar for evolutionary algorithms and heuristics☆192Updated 3 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆39Updated 3 years ago
- Assessing whether data from database complies with reference information.☆43Updated last week
- python library for automated dataset normalization☆116Updated 2 years ago
- A flexible template for doing reproducible data science in Python.☆111Updated last year
- A software engineering framework to jump start your machine learning projects☆37Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
- 💫 PyScaffold extension for data-science projects☆158Updated 3 weeks ago
- A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!☆68Updated last year