atulshanbhag / Layerwise-Relevance-Propagation
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
☆98Updated 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
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆71Updated 8 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- ☆100Updated 6 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- ☆51Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- ☆109Updated 2 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- Implementations of some popular Saliency Maps in Keras☆165Updated 5 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆331Updated 2 years ago
- Tools for training explainable models using attribution priors.☆123Updated 4 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆58Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- ☆34Updated 2 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
- ☆133Updated 5 years ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆42Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆60Updated 6 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆223Updated 4 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆169Updated 7 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆182Updated 2 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆74Updated 7 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago