Alternatives and similar repositories for critdd

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

• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆141Updated 10 months ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 9 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆76Updated 11 months ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆291Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆66Updated 3 years ago
• josephenguehard / time_interpret
  Unified Model Interpretability Library for Time Series
  ☆68Updated 2 weeks ago
• sherbold / autorank
  ☆84Updated 3 months ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆122Updated last year
• EricssonResearch / UDA-4-TSC
  Unsupervised Domain Adaptation for Time Series Classification
  ☆30Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆287Updated 3 years ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆109Updated 2 weeks ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 3 years ago
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆34Updated last year
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆121Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆187Updated last year
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆70Updated 4 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆31Updated 10 months ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆233Updated 11 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 4 years ago
• JHoelli / Awesome-Time-Series-Explainability
  A list of (post-hoc) XAI for time series
  ☆158Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆81Updated 4 months ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆228Updated 4 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆81Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆92Updated 5 months ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• Neal-Liu-Ziyi / Concept_Drift_Handling
  ☆13Updated 2 years ago