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🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
🔥 Use pre-trained models in PyTorch to extract vector embeddings for any image
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Web interface for browsing, search and filtering recent arxiv submissions
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.
A high performance implementation of HDBSCAN clustering.
VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
This repository tries to provide unsupervised deep learning models with Pytorch
Inverse Compositional Spatial Transformer Networks 🎭 (CVPR 2017 oral)
Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.
Classification in Remote Sensing Optical Images by CNNs
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Fine-grained classification of bird images from Caltech-UCSD Birds-200-2011 dataset
Simple examples to introduce PyTorch
Pytorch implementation of multitask CycleGAN with auxiliary classification loss
Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"
An improved conditional wasserstein generative adversarial network (ICW-GAN) that is trained to generate synthetic fMRI data samples.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
SegAN: Semantic Segmentation with Adversarial Learning
Deep learning with cats (^._.^)
Awesome paper list with code about generative adversarial nets