saketd403 / Visualizing-and-Understanding-Convolutional-neural-networks
☆83Updated 6 years ago
Alternatives and similar repositories for Visualizing-and-Understanding-Convolutional-neural-networks:
Users that are interested in Visualizing-and-Understanding-Convolutional-neural-networks are comparing it to the libraries listed below
- TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propa…☆196Updated 6 years ago
- Visualisations for Convolutional Neural Networks in Pytorch☆86Updated 7 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆165Updated 4 years ago
- Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/pap…☆68Updated 7 years ago
- A generalized gradient-based CNN visualization technique☆289Updated 6 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- tensorflow implementation of Grad-CAM (CNN visualization)☆311Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- ☆226Updated 4 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 years ago
- Class Activation Mapping written in PyTorch.☆152Updated 2 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆338Updated 3 years ago
- Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.☆67Updated 4 years ago
- Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).☆150Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆274Updated 6 years ago
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆468Updated 5 years ago
- ☆518Updated last year
- Empirical studies on Capsule Network representation and improvements implemented with PyTorch.☆43Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆169Updated 7 years ago
- Class Activation Map using Keras☆81Updated 7 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge☆154Updated 6 years ago
- Visualizing CNN filters using PyTorch☆235Updated 5 years ago