Alternatives and similar repositories for XAI

Users that are interested in XAI are comparing it to the libraries listed below

• johnnyp2587 / transfer-learning
  Implementation of transfer learning based with autoencoder architecture
  ☆17Updated 4 years ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆13Updated 5 years ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆37Updated 6 months ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 3 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆45Updated 3 weeks ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated 2 years ago
• manitadayon / tsBNgen
  ☆60Updated last year
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 7 years ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• cvxgrp / cptopt
  Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
  ☆35Updated last year
• marcovirgolin / genepro
  A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
  ☆34Updated 10 months ago
• druce / ValueMomentum
  Value and Momentum Using Machine Learning
  ☆11Updated 4 years ago
• microprediction / mkalgo
  Mueen-Keogh Algorithm for finding timeseries motifs
  ☆21Updated 4 years ago
• erfanMhi / Genetic-algorithms-for-credit-scoring
  Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature se…
  ☆25Updated 6 years ago
• FastGA / fast-genetic-algorithms
  ☆21Updated 8 years ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 3 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆20Updated last year
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆16Updated 6 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 3 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 3 years ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago