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:
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)☆202Updated 6 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Updated 5 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆238Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆125Updated 7 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 5 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆84Updated 7 years ago
- 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
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated 2 years ago
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- ☆62Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- ☆226Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 5 years ago
- ☆84Updated 6 years ago
- 97.39% on CIFAR10 with PyTorch☆15Updated 6 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- The code is an implementation of Feedback Convolutional Neural Network for Visual Localization and Segmentation.☆23Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆38Updated 4 years ago