liuyisi123 Goto Github PK

1d-deeplearning-model-lenet-alexnet-zfnet-vgg-googlenet-resnet-densenet

To do a deep learning project on ecg. I use pytorch to reproduce the traditional CNN models include LeNet AlexNet ZFNet VGG GoogLeNet ResNet DenseNet with one demotion.

1dbloodflowpinns-pelvic-pytorch

rewrite ./Pelvic of the repository "PredictiveIntelligenceLab/1DBloodFlowPINNs" using pytorch

courses-zh-v2

中文版 v2 课程

dbot

Exploring Target Representations for Masked Autoencoders

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepbeat

DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

dreamdiffusion

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

edgenext

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

fastmoe

A fast MoE impl for PyTorch

federated-learning-mixture

Federated learning using a mixture of experts

generalizable-mixture-of-experts

GMoE could be the next backbone model for many kinds of generalization task.

leaf_net

LEAF-Net- a novel lightweight attention network designed to address the challenge of high-resolution quality assessment (QA) in multimodal data

m3vit

[NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue Liang*, Zhiwen Fan*, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mixture-of-experts

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

mixture-of-robust-experts-more-

This repo present the main code to realize the Mixture-of-Robust-Experts structure. This structure could mix clean, adversarial and natural perturbations models to defend against corresponding types of inputs.

multimodule-ecg-classification

Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification

multitaskmodel

multi task mode for esmm and mmoe

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

pulsedb

pulselab

"PulseLab'', is the first comprehensive MATLAB toolbox that covers all the necessary steps for estimating the blood pressure from raw electrocardiogram (ECG) and photoplethysmogram (PPG) signals, using pulse wave velocity (PWV)-based models. The toolbox includes a user-friendly graphical user interface (GUI) offering visualization for step-by-step

pytorch-cifar

95.47% on CIFAR10 with PyTorch

resnet

Clean, scalable and easy to use ResNet implementation in Pytorch

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

semiformer

serialtest

Data transceiver/realtime plotter/shortcut/file transceiver over serial port/Bluetooth/network on Win/Linux/Android | 跨平台串口/蓝牙/网络助手，带数据收发/实时绘图/快捷发送/文件收发面板，可在PC和Android设备上使用

sssd

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

swin-transformer-1d

Swin-Transformer 1D implements

time-series-library

A Library for Advanced Deep Time Series Models.