dengwanxia1991

DEC-keras

Keras implementation for Deep Embedding Clustering (DEC)

NNclustering

The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)

L2C

Learning to Cluster. A deep clustering strategy.

kmeans_pytorch

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

pytorch-kmeans-init

Weight initialization of deep networks using k-means clustering

Deep-K-Means-pytorch

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Autoencoder-Clustering

Replication of "Auto-encoder Based Data Clustering" Song et al

OSRAAE

Open-set Recognition with Adversarial Autoencoders

GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

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.

PADA

Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)

Separate_to_Adapt

Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

ss-gan

Style and Structure GAN (ECCV 2016)

openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

pooling_time

Low rank bilinear pooling in torch and keras

Bilinear-CNN

A pytorch implementation of bilinear CNN for fine-grained image recognition

blinear-cnn-faster

A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

pytorch_compact_bilinear_pooling

Compact Bilinear Pooling for PyTorch

CompactBilinearPooling-Pytorch

A Pytorch Implementation for Compact Bilinear Pooling.

InfoGAN-PyTorch

PyTorch Implementation of InfoGAN

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

Beta-VAE

Pytorch implementation of β-VAE

GSFL-Net

GeneGAN

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

SKNet

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

gcn

Implementation of Graph Convolutional Networks in TensorFlow

Transferable-Adversarial-Training

Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)

domAdapt_imageclef2014

Applying the DAM Framework to the ImageCLEF 2014 domain adaptation challenge.

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch