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msdn

Official PyTorch Implementation of MSDN (CVPR'22)

novel-joint-transfer-network

omniglot

Omniglot data set for one-shot learning

prototypical-networks

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

prototypical-networks-for-image-classification

This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.

pytorch-hdml

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

shot-plus

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

siamese-pytorch

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

srwgan_zsl

ssformers

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning".

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

transferincrement_zsl

tts-gan

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

uav-digital-twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

udtl

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

udtl_lable_inconsistent

udtl_multi_domain

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))

wdcnn_bearning_fault_diagnosis

wdcnn轴承故障模型

wdcnn_bearning_fault_diagnosis-master

fault_diagnosis

zero-shot-classification

Zero shot classification using shared text and image embeddings in TensorFlow