Stars
A toolkit for ordinal regression and classification methods
TOC-UCO: The Tabular Ordinal Classification repository of the University of Córdoda
A package for EEG time series classification built on the aeon toolkit.
Implementation of Multi-Farm Multi-Step (MFMS) and Single-Farm Multi-Step (SFMS) models proposed in the article "Simultaneous multi-step wind speed prediction on multiple farms using multi-task dee…
A toolkit for time series machine learning and deep learning
From scratch decision tree algorithm implementation in python. Providing an sklearn compatible interface and novel ordinal regression splitting criteria.
Tutorials and related talks given by the aeon community
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Open-source Python toolkit focused on deep learning with ordinal methodologies
HTCondor source repository, formerly the Condor Project
ruptures: change point detection in Python
Multi Comparison Matrix: A long term approach to benchmark evaluations
🛠 All-in-one web-based IDE specialized for machine learning and data science.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Survival analysis built on top of scikit-learn