Alternatives and similar repositories for LRP_Pytorch_Resnets_Densenet

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

• zhiCHEN96 / ConceptWhitening
  ☆122Updated 3 years ago
• chr5tphr / zennit
  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
  ☆233Updated 2 months ago
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆138Updated 4 years ago
• eclique / RISE
  Detect model's attention
  ☆168Updated 5 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆118Updated 3 years ago
• idiap / fullgrad-saliency
  Full-gradient saliency maps
  ☆212Updated 2 years ago
• cfchen-duke / ProtoPNet
  This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…
  ☆375Updated 3 years ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆131Updated last year
• moboehle / Pytorch-LRP
  Basic LRP implementation in PyTorch
  ☆171Updated last year
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆37Updated 3 years ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆96Updated 2 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆158Updated 3 years ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆217Updated 3 years ago
• seulkiyeom / LRP_Pruning_toy_example
  Pruning CNN using CNN with toy example
  ☆21Updated 4 years ago
• google-research-datasets / bam
  ☆51Updated 5 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆89Updated 8 months ago
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆32Updated 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…
  ☆128Updated 4 years ago
• adebayoj / sanity_checks_saliency
  ☆112Updated 2 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆82Updated 2 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆83Updated 4 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆144Updated 2 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• rakhimovv / tcav
  Quantitative Testing with Concept Activation Vectors in PyTorch
  ☆43Updated 6 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆53Updated 3 years ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆216Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆578Updated last year
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆19Updated 4 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• tleemann / road_evaluation
  Source Code of the ROAD benchmark for feature attribution methods (ICML22)
  ☆23Updated 2 years ago