Alternatives and similar repositories for rrr:

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

• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆127Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 2 years ago
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆75Updated 7 years ago
• amiratag / InterpretationFragility
  Interpretation of Neural Network is Fragile
  ☆36Updated 11 months ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆123Updated 4 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• lsgos / uncertainty-adversarial-paper
  Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'
  ☆60Updated 6 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
  ☆30Updated 3 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• Jianbo-Lab / L2X
  ☆125Updated 3 years ago
• dmadras / predict-responsibly
  ☆14Updated last year
• kundajelab / abstention
  Algorithms for abstention, calibration and domain adaptation to label shift.
  ☆36Updated 4 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 4 years ago
• IBM / SIC
  Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019
  ☆14Updated 10 months ago
• ServiceNow / synbols
  The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
  ☆45Updated last year
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆63Updated 7 years ago
• google-research-datasets / bam
  ☆51Updated 4 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆75Updated 4 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• chihkuanyeh / saliency_evaluation
  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…
  ☆25Updated 3 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆81Updated 8 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆34Updated 4 years ago