Alternatives and similar repositories for B-LRP:

Users that are interested in B-LRP are comparing it to the libraries listed below

• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 4 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆63Updated 3 years ago
• understandable-machine-intelligence-lab / NoiseGrad
  NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…
  ☆22Updated last year
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆40Updated 5 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 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
• zhang64-llnl / Mix-n-Match-Calibration
  ☆34Updated 4 years ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆59Updated 4 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 2 years ago
• kundajelab / abstention
  Algorithms for abstention, calibration and domain adaptation to label shift.
  ☆36Updated 4 years ago
• YilunZhou / feature-attribution-evaluation
  Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"
  ☆19Updated 2 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• Sulam-Group / h-shap
  h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
  ☆16Updated last year
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated last year
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆15Updated last year
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆123Updated 4 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• JindongGu / Contrastive-LRP
  A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'
  ☆17Updated 2 years ago
• IBM / SIC
  Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019
  ☆14Updated 9 months ago
• XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE
  Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
  ☆30Updated 4 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 4 years ago
• js-d / sim_metric
  ☆35Updated last year
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• keiserlab / rcav
  'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation
  ☆11Updated 4 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