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This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
Wavelet scattering transforms in Python with GPU acceleration
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Discrete fourier transform (DFT) and discrete wavelet transform (DWT) to denoise white noise
Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.
Improved sEMG-based gesture recognition
Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
houshd / MLSTM-FCN
Forked from titu1994/MLSTM-FCNMultivariate LSTM Fully Convolutional Networks for Time Series Classification
houshd / LSTM-FCN
Forked from titu1994/LSTM-FCNCodebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Python functions to aid working with the NINAPRO databases (1 & 2)
A sample python package deployment utility for NINAPRO dataset.
Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.
Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)
A custom sEMG dataset developed with the Myo Armband for hand gesture classification
Python functions and important data for working on NinaPro database 1 & 2
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.
Time Series Feature Extraction using Deep Learning
The code ruproduced the emotion recognition model, 2D CNN LSTM networks, which based on <Speechemotionrecognitionusingdeep1D&2DCNNLSTMnetworks>, Jianfeng Zhao et.
A pytorch implementation of Speech emotion recognition using deep 1D & 2D CNN LSTM networks