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YeZhang's Projects

awd-net-under-review icon awd-net-under-review

The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environment'

awesome-anything icon awesome-anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

awesome-human-activity-recognition icon awesome-human-activity-recognition

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

brecq icon brecq

Pytorch implementation of BRECQ, ICLR 2021

ccf-deadlines icon ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

cvinw_readings icon cvinw_readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

dana icon dana

Dimension-Adaptive Neural Architecture (DANA)

deepconvlstm icon deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deepsense icon deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

dtw-pool icon dtw-pool

Implementation of dynamic temporal pooling (DTP) for time series classification

fagcn-1 icon fagcn-1

Source codes of the feature aggregation graph convolutional network

fnet-pytorch icon fnet-pytorch

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

grad-cam-pytorch icon grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

hand-activities icon hand-activities

Research repository for the CHI 2019 Paper on Sensing Fine-Grained Hand Activity with Smartwatches

hhar-data-process icon hhar-data-process

Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"

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