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Name: YeZhang
Type: User
Company: Sun Yat-Sen University
Bio: A postdoctor with research interests being focused on time series analysis, particularly on sensor based human activity recognition and IMU positioning.
Name: YeZhang
Type: User
Company: Sun Yat-Sen University
Bio: A postdoctor with research interests being focused on time series analysis, particularly on sensor based human activity recognition and IMU positioning.
PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.
The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environment'
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
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.
Repository for benchmarking graph neural networks
Pytorch implementation of BRECQ, ICLR 2021
⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
Dimension-Adaptive Neural Architecture (DANA)
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
DeepConvLSTM implemented in python 3 and pytorch
Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
Deformable Convolutional Networks
A Review of Deep Learning Methods on ECG Data
Implementation of dynamic temporal pooling (DTP) for time series classification
A list of all public EEG-datasets
Encoding human activity by considering salient sensors and time points.
Source codes of the feature aggregation graph convolutional network
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
starter from "How to Train a GAN?" at NIPS2016
PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
Implementation of Grad CAM in tensorflow
Research repository for the CHI 2019 Paper on Sensing Fine-Grained Hand Activity with Smartwatches
Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.