fengkoushangdeZZX

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

codats

Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)

WaveletFCNN

Source code and dataset for the paper ""

SP_Lib

Signal processing method and algorithm library

time-series-domain-adaptation

Rotating-machine-fault-data-set

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

deep-sensor

A deep learning framework for fault diagnositcs with PyTorch

MS-DA-MIL-CNN

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

Time_Series_Transformers

Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.

DomainAdaption_PHM2020

Code and supplementary material for ICPHM2020

Mixup_for_UDA

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

iDataV

大屏数据可视化 Big screen data visualization demo

GHI-prediction

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

AutoNL

Code for AutoNL on ImageNet (CVPR2020)

ConvTransformerTimeSeries

Convolutional Transformer for time series

pytorch_DGCNN

PyTorch implementation of DGCNN

fengkoushangdeZZX.github.io

CVAE-GAN-zoos-PyTorch-Beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

HoMM-Master

Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)

IoT-predictive-maintenance

EDGE2AI workshop featuring CDF and CDSW

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

attention-module

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

object-detect

专注于计算机视觉，目标检测方面的论文代码收集与复现

deep_learning_object_detection

A paper list of object detection using deep learning.

NTU-Machine-learning

**大学李宏毅老师机器学习

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证有效的领先模型）

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

Medical-image-registration

a project for developing registration tools with convolutional neural networks