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 5 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆125Updated 7 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆84Updated 7 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆149Updated 2 years ago
- PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html☆48Updated 5 years ago
- The code is an implementation of Feedback Convolutional Neural Network for Visual Localization and Segmentation.☆23Updated 6 years ago
- A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." (ECCV 2014)☆203Updated 6 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆70Updated 4 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- Example of Deconvnet in PyTorch for VGG16☆64Updated 7 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- ☆226Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- ☆62Updated 6 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- ☆22Updated 7 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"☆39Updated 7 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆95Updated 6 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
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated last year
- Visualizing how deep networks make decisions☆66Updated 6 years ago