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attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

augmented_cyclegan

cdan

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

conditional-gan

this is the pytorch version of Conditional Generative Adversarial Nets

cycada_release

Code to accompany ICML 2018 paper

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

dsgan

Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)

pixelda_gan

Domain Adaptation using GAN

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-spectral-normalization-gan

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

pytorch_tcn

Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN

san

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

second-order-multi-synchrosqueezing-transform-for-rub-impact-detection-of-rotor-systems

MSST2 is the Matlab code of second order multi-synchrosqueezing transform

simulation-data-driven-weakly-supervised-adversarial-domain-adaptation-approach-for-intelligent-cros

sn-gan

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vit-dann