ZuoMatthew

acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

causal-forest

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

causal_shap_python

CGA2M_plus

CGA2M_plus is a Python package of Constraint GA2M plus(CGA2M+), which we proposed. CGA2M+ is a model that improves GA2M in two respects: interpretability and accuracy.

diffi

Interpretation of Isolation Forests

fastshap

An amortized approach for calculating local Shapley value explanations

fuzzylogic

Fuzzy Logic and Fuzzy Inference for Python 3

fylearn

Fuzzy machine learning algorithms implementing the scikit-learn interface.

gaminet

Generalized additive model with pairwise interactions

lazyarray

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

npy-append-array

Allows to create .npy files that are larger than the main memory

numpy-groupies

Optimised tools for group-indexing operations: aggregated sum and more

pandapy

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Polyfit

Scikit learn compatible constrained and robust polynomial regression in Python

PRF

Probabilistic Random Forest: A machine learning algorithm for noisy datasets

pyGAM

[HELP REQUESTED] Generalized Additive Models in Python

pythonbook

Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!

RFCDE

Random Forests for Conditional Density Estimation

shapley-regression

For calculating Shapley values via linear regression.

simpful

A friendly python library for fuzzy logic reasoning

sklearn-xarray

Metadata-aware machine learning.

skmoefs

SK-MOEFS is a Python toolbox that enables data scientists to build, train, and evaluate Multi-Objective Evolutionary Fuzzy Systems

ssi-forest

Semi-supervised isolation forest

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

xgboost-distribution

Probabilistic prediction with XGBoost.