chenxy12's Stars
google-research/bert
TensorFlow code and pre-trained models for BERT
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
google-research/vision_transformer
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
bojone/bert4keras
keras implement of transformers for humans
timeseriesAI/tsai
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
meijieru/crnn.pytorch
Convolutional recurrent network in pytorch
dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
activatedgeek/LeNet-5
PyTorch implementation of LeNet-5 with live visualization
fish-kong/CSDN-code-link
由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
Vidhiwar/multimodule-ecg-classification
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
zyf-xtu/pytorch_models
CNN经典网络结构复现：LeNet5、AlexNet、VGG、ResNet、InceptionNet等。
computer-animation-perception-group/sEMG-based-mvcnn
Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"
josephsdavid/semg_repro
ketyi/2SRNN
Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks
louisc-s/Machine-Learning-Technologies-on-EMG-for-Hand-Gesture-Recognition
Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.google.com/file/d/1vHzUKKFz1ifAaLOw91Sb41zo3zN5qRJl/view?usp=sharing
xyxdegithub/cwt_swinTransformer
基于小波时频图与 Swin Transformer 的轴承故障诊断方法
josephsdavid/attentionsemg
increase24/CMKD-MINDS
Official pytorch implementation of Cross Modality Knowledge Distillation between A-mode Ultrasound and Surface Electromyography.
bladesav/sEMG-CNNTransformer
A lightweight CNN-Transformer model for classification of hand gestures from trans-radial surface electromyography signals (sEMG).
iAmKankan/Neural-Network
Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3
xun911/CIMS_sEMG_dualstreamCNN
Surface electromyography based gesture recognition based on dual-stream CNN
MansoorehMontazerin/Vision-Transformer_EMG
Vision Transformer-Based Hand Gesture Recognition with HD-sEMG Signals
deremustapha/BSS-ViT
This repository includes the code and result reported for the article titled Investigating Vision Transformer with Blind Source Separation Preprocessing for EMG-based Gesture Classification.
Shurun-Wang/MFTCAN-KNR
Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
MiscellaneousStuff/semg_silent_speech_py
Surface Electromyography: Silent Speech Python Module
nrgsrzd/Recurrent-neural-networks-in-speech-recognition
This project uses RNNs for speech recognition from audio files and text data. LSTM, RNN, and GRU models are trained on preprocessed data and evaluated using loss, accuracy, and f1-score metrics. The best model is chosen and some output samples are reported.
saharhzm/CrossModalSleepTransformer
The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signals. It utilizes the transformer architecture, and cross-attention mechanism to effectively process and integrate information from multiple input modalities, including EEG, EOG, EMG, ECG, and respiratory signals.