Generate Diverse Counterfactual Explanations for any machine learning model.

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

The Atmospheric Radiative Transfer Simulator

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Open source package for Survival Analysis modeling

Repo for the ML_Insights python package

Calibration of Convolutional Neural Networks

A large (+2500) collection of color maps for Python

Fork of pybaobabdt adding more customization.

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.

Software to create Precision-Recall-Gain curves and calculate area under the curve

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Survival analysis with PyTorch

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Parallelized Mutual Information based Feature Selection module.

Feature Selection using Genetic Algorithm (DEAP Framework)

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

All the slides, accompanying code and exercises all stored in this repo. 🎈

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

Code repository for the online course Feature Selection for Machine Learning

Boosted neural network for tabular data

Functional Data Analysis Python package

Kolmogorov Arnold Networks

Python implementation of binary and multi-class Venn-ABERS calibration

Feature selection library in python

Features selector based on the self selected-algorithm, loss function and validation method

Tools for making image cutouts from sets of TESS full frame images