1202kbs / Understanding-NNLinks
Tensorflow tutorial for various Deep Neural Network visualization techniques
☆346Updated 5 years ago
Alternatives and similar repositories for Understanding-NN
Users that are interested in Understanding-NN are comparing it to the libraries listed below
Sorting:
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆99Updated 7 years ago
- tensorflow implementation of Grad-CAM (CNN visualization)☆312Updated 7 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆634Updated 3 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆334Updated 3 years ago
- ☆226Updated 4 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆754Updated 5 years ago
- Building a Bayesian deep learning classifier☆489Updated 7 years ago
- TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propa…☆196Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Implementations of some popular Saliency Maps in Keras☆166Updated 6 years ago
- DTD implement on Imagenet pretrained model☆41Updated 5 years ago
- All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.☆231Updated 5 years ago
- ☆84Updated 7 years ago
- An implementation of Grad-CAM with keras☆664Updated 6 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- Lecture notes on Bayesian deep learning☆486Updated 7 years ago
- Discover augmentation strategies tailored for your dataset☆250Updated 5 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆981Updated last year
- A generalized gradient-based CNN visualization technique☆295Updated 6 years ago
- A short tutorial on performing fine tuning or transfer learning in PyTorch.☆284Updated 6 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,304Updated 4 months ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆225Updated 5 years ago
- Pytorch starter kit for Kaggle competitions☆329Updated 7 years ago
- All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN☆654Updated 6 years ago
- A journey into Convolutional Neural Network visualization☆271Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆709Updated 5 years ago
- Visualizing CNN filters using PyTorch☆235Updated 5 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆537Updated 3 years ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆281Updated 3 years ago