dengwanxia1991's starred repositories
prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
InfoGAN-PyTorch
PyTorch Implementation of InfoGAN
pytorch_compact_bilinear_pooling
Compact Bilinear Pooling for PyTorch
CompactBilinearPooling-Pytorch
A Pytorch Implementation for Compact Bilinear Pooling.
Deep-K-Means-pytorch
[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
blinear-cnn-faster
A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition
kmeans_pytorch
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
Transferable-Adversarial-Training
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
NNclustering
The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
openset-DA
Code for 'Open Set Domain Adaptation by Backpropagation'
Separate_to_Adapt
Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)
Open-Set-Domain-Adaptation-for-Hyperspectral-Image-Classification-Using-Generative-Adversarial-Netwo
The Noval approach for dealing with hyperspectral images with the help of openset domain adaptatin and generative adversarial network.
Autoencoder-Clustering
Replication of "Auto-encoder Based Data Clustering" Song et al
Bilinear-CNN
A pytorch implementation of bilinear CNN for fine-grained image recognition
pooling_time
Low rank bilinear pooling in torch and keras
pytorch-kmeans-init
Weight initialization of deep networks using k-means clustering
domAdapt_imageclef2014
Applying the DAM Framework to the ImageCLEF 2014 domain adaptation challenge.