PrimozGodec / keras-explainLinks
The toolkit to explain Keras model predictions.
☆14Updated last year
Alternatives and similar repositories for keras-explain
Users that are interested in keras-explain are comparing it to the libraries listed below
Sorting:
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆389Updated 3 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Updated 9 months ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Updated 3 years ago
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 7 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- DTD implement on Imagenet pretrained model☆42Updated 5 years ago
- Detect model's attention☆170Updated 5 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆226Updated 5 years ago
- Basic LRP implementation in PyTorch☆174Updated last year
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Updated 5 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 6 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Updated 3 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
- ☆15Updated 4 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆98Updated 4 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆339Updated 4 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆644Updated 3 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Updated 7 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆575Updated 4 years ago
- ☆41Updated 2 years ago
- Implementation of the pseudo-label algorithm with keras☆18Updated 6 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆18Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆165Updated 3 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 6 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 3 years ago
- ☆193Updated 8 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago