saketd403 / Visualizing-and-Understanding-Convolutional-neural-networks
☆82Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Visualizing-and-Understanding-Convolutional-neural-networks
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆164Updated 4 years ago
- A generalized gradient-based CNN visualization technique☆288Updated 5 years ago
- TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propa…☆197Updated 6 years ago
- Visualisations for Convolutional Neural Networks in Pytorch☆86Updated 6 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Updated 6 years ago
- tensorflow implementation of Grad-CAM (CNN visualization)☆307Updated 6 years ago
- Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/pap…☆67Updated 6 years ago
- Visualizing CNN filters using PyTorch☆233Updated 5 years ago
- Pytorch implementation of various neural network interpretability methods☆111Updated 2 years ago
- A journey into Convolutional Neural Network visualization☆265Updated 5 years ago
- Class Activation Mapping written in PyTorch.☆152Updated 2 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆167Updated 7 years ago
- Official implementation of Score-CAM in PyTorch☆405Updated 2 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆50Updated 6 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 4 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆84Updated 2 years ago
- Keras implementation of GradCAM.☆115Updated 5 years ago
- ☆223Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆80Updated 7 months ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆344Updated 4 years ago
- the re-implementation of Score CAM with pytorch☆52Updated 4 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆85Updated 7 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆63Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆335Updated 4 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
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆344Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago