sar-gupta / convisualize_nbLinks
Visualisations for Convolutional Neural Networks in Pytorch
☆86Updated 7 years ago
Alternatives and similar repositories for convisualize_nb
Users that are interested in convisualize_nb are comparing it to the libraries listed below
Sorting:
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- ☆226Updated 5 years ago
- PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html☆47Updated 5 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- PyTorch implementation for Histogram Loss☆193Updated 6 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆85Updated 7 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- Example of Deconvnet in PyTorch for VGG16☆64Updated 8 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆59Updated 7 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)☆204Updated 7 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 2 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆219Updated 6 years ago
- ☆62Updated 6 years ago
- Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)☆72Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆49Updated 9 years ago
- Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/☆125Updated 6 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago