dengwanxia1991

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

vae

a simple vae and cvae from keras

IIC

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

FINCH-Clustering

Source Code for FINCH Clustering Algorithm

pt-dec

PyTorch implementation of DEC (Deep Embedding Clustering)

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

TSNE-UMAP-Embedding-Visualisation

A Simple and easy to use way to Visualise Embeddings!

DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

deconvolution

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

GraphTSNE

PyTorch Implementation of GraphTSNE, ICLR’19

BallClustering_ICCV2019

Video Face Clustering with Unknown Number of Clusters - Ball Cluster Learning

vib_demo

disentanglment

Experiments with beta-VAE to learn disentangled representations from the data

MMD_AAE

Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.

VAEs

Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)

proxy-a-distance

Proxy A-Distance algorithm for measuring domain disparity in parallel corpora

nonlinear-IB-PyTorch

Pytorch Implementation of the Nonlinear Information Bottleneck

joint-cluster-cnn

A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).

GPDA

TensorFlow_DCIGN

Deep Convolutional Inverse Graphics network (DCIGN) implementation with Tensorflow

domain-adaptation

Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets. I implemented this repo for a technical interview for Heuritech and trained it on my GPU back in 2019.

DSR

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

SS-VAE-pytorch

The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch

vib

Variational Information Bottleneck

DiDA

Disentangled Synthesis for Domain Adaptation

pytorch_dvib

Deep Variational Information Bottleneck (DVIB) in PyTorch.

Variational-Fair-Information-Bottleneck