Alternatives and similar repositories for GANterfactual

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

• JAEarly / MILLI
  Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".
  ☆13Updated 3 years ago
• XanderJC / medkit-learn
  The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…
  ☆29Updated 3 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆15Updated 5 years ago
• maleakhiw / explaining-dataset-shifts
  The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.
  ☆14Updated 4 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆29Updated 4 years ago
• Yu-Group / imodels-experiments
  Experiments with experimental rule-based models to go along with imodels.
  ☆16Updated last month
• GaelVaroquaux / ml_med_imaging_failures
  Failures in machine learning for medical imaging
  ☆31Updated 3 years ago
• JonathanCrabbe / Label-Free-XAI
  This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…
  ☆23Updated 2 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 2 weeks ago
• intelligence-csd-auth-gr / LionLearn
  A library of techniques for local interpretation of machine learning models
  ☆9Updated 2 years ago
• ben-hoeltgen / DeDUCE
  ☆8Updated 3 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆62Updated 5 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• sayakpaul / Adversarial-Examples-in-Deep-Learning
  Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
  ☆12Updated 4 years ago
• jcyang34 / lspin
  ☆11Updated 2 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆33Updated 4 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month
• zeeshannisar / CX_GAN
  ☆9Updated 2 years ago
• GuillaumeStaermanML / FIF
  Source code for the ACML 2019 paper "Functional Isolation Forest".
  ☆21Updated 3 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• GDPlumb / ExpO
  Explanation Optimization
  ☆13Updated 4 years ago
• albermax / interpretable_ai_book__sw_chapter
  The code snippets for the SW chapter of the "Interpretable AI" book.
  ☆19Updated 6 years ago
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• psteinb / sota_on_uncertainties
  trying to obtain uncertainties from training accuracies using timm
  ☆9Updated 3 years ago