Alternatives and similar repositories for Layerwise-Relevance-Propagation-for-LSTMs:

Users that are interested in Layerwise-Relevance-Propagation-for-LSTMs are comparing it to the libraries listed below

• ArrasL / LRP_for_LSTM
  Layer-wise Relevance Propagation (LRP) for LSTMs.
  ☆222Updated 4 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆95Updated 11 months ago
• sebastian-lapuschkin / lrp_toolbox
  The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…
  ☆331Updated 2 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆97Updated 6 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆105Updated 5 years ago
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆132Updated 3 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆68Updated 3 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆40Updated 3 years ago
• sltzgs / xai-regression
  ☆26Updated last year
• prashanth41 / Layer-wise_relevance_propagation
  Implementation of layer-wise relevance propagation.
  ☆8Updated 6 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆81Updated 2 years ago
• uchidalab / softmaxgradient-lrp
  ☆35Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆88Updated 3 years ago
• VigneshSrinivasan10 / interprettensor
  ☆99Updated 6 years ago
• alewarne / explain-mlsec
  ☆17Updated 4 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 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.
  ☆208Updated 5 months ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆182Updated 5 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆113Updated 2 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆130Updated last year
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆113Updated 10 months ago
• hellojinwoo / TorchCoder
  PyTorch based autoencoder for sequential data
  ☆43Updated 4 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated last year
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆192Updated last year
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆42Updated last year
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆29Updated 10 months ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆180Updated 11 months ago
• e-delaney / Instance-Based_CFE_TSC
  This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…
  ☆18Updated 3 years ago
• hfawaz / ijcnn19attacks
  Adversarial Attacks on Deep Neural Networks for Time Series Classification
  ☆73Updated 4 years ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆200Updated 2 years ago