barebell

barebell's Stars

• ToniCreswell/pyTorch_DAAE

  Demonising Adversarial Auto-encoder in PyTorch

  Language:Jupyter Notebook244

• cemoody/topicsne

  t-SNE experiments in pytorch

  Language:Python47585

• conan7882/adversarial-autoencoders

  Tensorflow implementation of Adversarial Autoencoders

  Language:Python24739

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k863

• animebing/mnist_tsne

  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature

  Language:Jupyter Notebook6315

• mattans/AgeProgression

  Language:Jupyter Notebook13540

• thuml/CDAN

  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

  Language:Jupyter Notebook40092

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python900206

• kevinlyu/Domain-Adaptation-Models

  my implemented domain adaptation model using pytorch

  Language:Python5

• wogong/pytorch-dann

  A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

  Language:Jupyter Notebook14820

• thuml/SAN

  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

  Language:Jupyter Notebook6932

• thuml/PADA

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

  Language:Python9942

• corenel/pytorch-atda

  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation

  Language:Python4418

• IssamLaradji/M-ADDA

  Domain Adaptation Based on the Triplet Loss

  Language:Python11327

• ceshine/fast-neural-style

  Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

  Language:Jupyter Notebook16334

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1.5k

• boscotsang/AdversarialAutoencoder

  An implementation of unsupervised cluster and semisupervised type of adversarial autoencoder

  Language:Python82

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.6k2.8k

• mingyuliutw/UNIT

  Unsupervised Image-to-Image Translation

  Language:Python2k364

• luckycallor/CDAAE

  This is the code of experiments in paper Cross-Domain Adversarial Auto-Encoder(https://arxiv.org/abs/1804.06078)

  Language:Python123

• fducau/AAE_pytorch

  Language:Python19950

• wiseodd/generative-models

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

  Language:Python7.4k2k

• neale/Adversarial-Autoencoder

  An adversarial autoencoder implementation in pytorch

  Language:Python8317

• pytorch/tnt

  A lightweight library for PyTorch training tools and utilities

  Language:Python1.7k278

• iMeiji/shadowsocks_install

  Auto install shadowsocks server，thanks 秋水逸冰

  4.2k1.2k

• barebell/DA

  Unsupervised Domain Adaptation Papers and Code

  755175

• jhoffman/cycada_release

  Code to accompany ICML 2018 paper

  Language:Python563126

• igul222/improved_wgan_training

  Code for reproducing experiments in "Improved Training of Wasserstein GANs"

  Language:Python2.4k671

• ZhangJUJU/OfficeCaltechDomainAdaptation

  Code, Images and Features for the Domain Adaptation benchmark dataset Office-Caltech

  Language:Python77

• jvanvugt/pytorch-domain-adaptation

  A collection of implementations of adversarial domain adaptation algorithms

  Language:Python620108