Alternatives and similar repositories for iXAI

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

• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆193Updated last year
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆144Updated 11 months ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆135Updated 2 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆293Updated 3 years ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆94Updated 4 months ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆128Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 6 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated 3 weeks ago
• sherbold / autorank
  ☆86Updated 4 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆76Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆97Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated this week
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 4 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• online-ml / deep-river
  ☆162Updated last month
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆119Updated 2 years ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 7 months ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated last week
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆35Updated last year
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆219Updated 2 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆351Updated last week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆113Updated last month
• arnedb / tsfuse
  Python package for automatically constructing features from multiple time series
  ☆39Updated last year