e62505

AMDA

This is an implementation of single source multiple target domain adaptation for fault diagnosis

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

COVID-Net

COVID-Net Open Source Initiative

CWAN

DeepMerge-CAN

Using Contrastive Domain Discrepancy for class-aware domain adaptation to study galaxy mergers.

DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

Fault_diognosis_dataset

Few-shot-Transfer-Learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

MDDA

Implementation of paper multi-source distilling domain adaptation

NERtc_demo

e62505/Fault_diognosis_dataset

e62505/AMDA

This is an implementation of single source multiple target domain adaptation for fault diagnosis

e62505/awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

e62505/COVID-Net

COVID-Net Open Source Initiative

e62505/CWAN

e62505/DeepMerge-CAN

Using Contrastive Domain Discrepancy for class-aware domain adaptation to study galaxy mergers.

e62505/DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

e62505/Few-shot-Transfer-Learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

e62505/MDDA

Implementation of paper multi-source distilling domain adaptation

e62505/NERtc_demo

e62505/pytorch-Deep-Learning

Deep Learning (with PyTorch)

e62505/pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

e62505/SAN

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

e62505/tacotron2-vae

Implementation of "Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis"

e62505/transferlearning

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

e62505/UDTL

Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"