atulshanbhag / Layerwise-Relevance-PropagationLinks
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
☆99Updated 6 years ago
Alternatives and similar repositories for Layerwise-Relevance-Propagation
Users that are interested in Layerwise-Relevance-Propagation are comparing it to the libraries listed below
Sorting:
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆334Updated 3 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Updated 8 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Updated 4 years ago
- ☆100Updated 7 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 3 years ago
- Implementations of some popular Saliency Maps in Keras☆166Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆225Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- ☆112Updated 2 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between…☆17Updated 6 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 5 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 3 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Updated 5 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- ☆51Updated 4 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago
- ☆134Updated 5 years ago
- Calibration of Convolutional Neural Networks☆168Updated 2 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆100Updated 4 years ago
- Towards Automatic Concept-based Explanations☆160Updated last year
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago