Alternatives and similar repositories for tcav:

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

• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆53Updated 3 years ago
• mlomnitz / tcav_pytorch
  Pytorch implementation of Google TCAV
  ☆10Updated 6 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
• adebayoj / sanity_checks_saliency
  ☆109Updated 2 years ago
• google-research-datasets / bam
  ☆51Updated 4 years ago
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 2 years ago
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆36Updated 2 years ago
• M-Nauta / ProtoTree
  ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
  ☆99Updated 2 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
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• eclique / RISE
  Detect model's attention
  ☆165Updated 4 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆116Updated 3 years ago
• ruthcfong / perturb_explanations
  Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"
  ☆30Updated 5 years ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆159Updated 11 months ago
• rmrisforbidden / Fooling_Neural_Network-Interpretations
  This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…
  ☆22Updated 4 years ago
• arnav-gudibande / conceptSHAP
  PyTorch Transformer-based Language Model Implementation of ConceptSHAP
  ☆14Updated 4 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• osu-xai / pytorch-saliency
  Pytorch plugin to generate saliency maps for neural networks
  ☆12Updated 6 years ago
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated last year
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆72Updated 2 years ago
• google-research / mnist-c
  ☆65Updated 5 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆40Updated 5 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆79Updated 2 years ago
• dmitrykazhdan / CME
  CME: Concept-based Model Extraction
  ☆12Updated 4 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆82Updated 4 years ago
• lapalap / B-LRP
  B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
  ☆18Updated 2 years ago
• seulkiyeom / LRP_Pruning_toy_example
  Pruning CNN using CNN with toy example
  ☆20Updated 3 years ago
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆37Updated 3 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago