Ashton-Sidhu / aethos
Automated Data Science and Machine Learning library to optimize workflow.
☆104Updated last year
Related projects: ⓘ
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆54Updated 2 years ago
- Data Analysis Baseline Library☆130Updated 8 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆105Updated last year
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 2 weeks ago
- Wrap-up to automatically tune xgboost in Python.☆78Updated 3 years ago
- MLOps simplified. One platform, all the functionality you need. Swiss made☆94Updated last week
- General Interpretability Package☆58Updated last year
- python library for automated dataset normalization☆109Updated last year
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆152Updated 6 months ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated 7 months ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆72Updated 7 months ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆77Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆55Updated 3 years ago
- Jupyter Widget for Lux☆72Updated last year
- Accelerate data science☆117Updated 3 years ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 4 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆99Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆63Updated 7 months ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆82Updated 8 months ago
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆196Updated 2 years ago
- Server that simplifies connecting pandas to a realtime data feed, testing hypothesis and visualizing results in a web browser☆32Updated last year
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated 4 months ago
- ☆20Updated this week
- Using Kafka-Python to illustrate a ML production pipeline☆108Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆59Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆50Updated 2 years ago
- Python package for publishing Jupyter Notebooks as Medium blogposts☆144Updated last year