Alternatives and similar repositories for tensorflow-lrp:

Users that are interested in tensorflow-lrp are comparing it to the libraries listed below

• AlexBinder / LRP_Pytorch_Resnets_Densenet
  implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…
  ☆24Updated 10 months ago
• google-research-datasets / bam
  ☆50Updated 4 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆52Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• gmishne / DiffusionNet
  Diffusion Net TensorFlow implementation
  ☆11Updated 7 years ago
• human-centered-ai-lab / app-kandinsky-pattern-generator
  Python scripts to generate Kandinsky- Figures, Patterns and Series (Images and Captions)
  ☆19Updated 4 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆85Updated last week
• suinleelab / cxr_adv
  Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
  ☆18Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆89Updated 5 years ago
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆97Updated 6 years ago
• VigneshSrinivasan10 / interprettensor
  ☆99Updated 6 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆120Updated 3 years ago
• dshieble / Tensorflow_Deep_Taylor_LRP
  Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
  ☆71Updated 8 years ago
• zhiCHEN96 / ConceptWhitening
  ☆119Updated 2 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 2 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 6 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 5 years ago
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆61Updated 6 years ago
• mlomnitz / tcav_pytorch
  Pytorch implementation of Google TCAV
  ☆10Updated 6 years ago
• ubisoft / ubisoft-laforge-disentanglement-metrics
  ☆33Updated 4 years 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
• mlpc-ucsd / Guided-VAE
  (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning
  ☆25Updated 3 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆93Updated 2 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year
• msmsajjadi / precision-recall-distributions
  Assessing Generative Models via Precision and Recall (official repository)
  ☆104Updated 2 years ago
• chr5tphr / zennit
  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
  ☆209Updated 6 months ago
• lucmos / DLAI-s2-2020-tutorials
  Deep Learning & Applied AI: Tutorials
  ☆14Updated 4 years ago
• HenningBuhl / VQ-VAE_Keras_Implementation
  Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
  ☆29Updated 4 years ago