yuvalailer / nnplotLinks
A Python library for pruning and visualizing Keras Neural Networks' structure and weights
☆10Updated 6 years ago
Alternatives and similar repositories for nnplot
Users that are interested in nnplot are comparing it to the libraries listed below
Sorting:
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆98Updated 2 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Updated 6 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Updated 3 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
- DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level☆38Updated 3 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆226Updated 5 years ago
- RNN and general weights, gradients, & activations visualization in Keras & TensorFlow☆181Updated last year
- Explaining Anomalies Detected by Autoencoders Using SHAP☆45Updated 4 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 3 weeks 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
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Updated 5 years ago
- Deep Feature Selection using Teacher Student Network☆44Updated 6 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Understand the relationship between PCA and autoencoder☆31Updated 6 years ago
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆83Updated 2 weeks ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 7 years ago
- Keras implementation of GradCAM.☆114Updated 6 years ago
- PyTorch implementations of neural networks for timeseries classification☆111Updated 4 years ago
- Tutorial on survival analysis using TensorFlow.☆47Updated 5 years ago
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆133Updated 4 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 6 years ago
- ☆34Updated 3 years ago
- Code (rewritten) for our winning submission to the sepsis physionet 2019 challenge. Team name: Can I get your signature?☆14Updated 3 years ago
- ☆18Updated 2 years ago
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆122Updated 4 years ago
- ☆122Updated 3 years ago