Alternatives and similar repositories for zennit:

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

• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆124Updated 10 months ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆89Updated 2 years ago
• virelay / corelay
  CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
  ☆28Updated this week
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆135Updated 4 years ago
• virelay / virelay
  ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.
  ☆27Updated this week
• jim-berend / semanticlens
  ☆11Updated 3 months ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆34Updated 11 months ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆598Updated 2 months ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆204Updated 2 years ago
• ViCCo-Group / thingsvision
  Python package for extracting representations from state-of-the-art computer vision models
  ☆164Updated 2 months ago
• jvielhaben / MCD-XAI
  ☆11Updated last year
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆31Updated last year
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆19Updated last year
• zhiCHEN96 / ConceptWhitening
  ☆120Updated 3 years ago
• lkopf / cosy
  CoSy: Evaluating Textual Explanations
  ☆16Updated 2 months ago
• moboehle / Pytorch-LRP
  Basic LRP implementation in PyTorch
  ☆168Updated 8 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆43Updated this week
• eclique / RISE
  Detect model's attention
  ☆165Updated 4 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆243Updated 7 months ago
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆36Updated 2 years ago
• serre-lab / Lens
  LENS Project
  ☆47Updated last year
• serre-lab / Harmonization
  👋 Aligning Human & Machine Vision using explainability
  ☆51Updated last year
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆117Updated 3 years ago
• AlexBinder / LRP_Pytorch_Resnets_Densenet
  implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…
  ☆25Updated last year
• maxdreyer / L-CRP
  Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
  ☆14Updated last year
• bifold-pathomics / xMIL
  xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
  ☆13Updated last month
• idiap / fullgrad-saliency
  Full-gradient saliency maps
  ☆209Updated 2 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆62Updated last year
• rodrigobdz / lrp
  Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…
  ☆15Updated 2 years ago
• seulkiyeom / LRP_Pruning_toy_example
  Pruning CNN using CNN with toy example
  ☆20Updated 3 years ago