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Plot standard multi lead ECG/EKG chart with Python
Popular ECG QRS detectors written in python
ECG arrhythmia classification using a 2-D convolutional neural network
Reading list for research topics in Masked Image Modeling
[ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
ConvMAE: Masked Convolution Meets Masked Autoencoders
Official PyTorch implementation of paper "Variation-aware Vision Transformer Quantization"
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Natural Language Processing with Transformers 中译本，最权威Transformers教程
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Obtain heart rate and SpO2 level from PPG data
Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
Project on blood pressure estimation from ECG and PPG signals.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Some PyTorch Demo Scripts based on MNIST Datasets, so that you can get started with the PyTorch Deep Learning FrameWork.
Build your neural network easy and fast, 莫烦Python中文教学
Flops counter for convolutional networks in pytorch framework
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
How to preprocess the EMG signal and decode it from low dimensions LFP signals in MI cortex
🔶 C Library for Serial Communication with Arduino
A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
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