Segment anything with our Napari integration of Meta AI's Segment Anything Model (SAM)!

多个网络摄像头进行拉流以及对象检测。平台使用Jetson TX2 (ARM architecture)，海康摄像头，对象检测采用YOLO v3模型。

TinyFive is a lightweight RISC-V emulator and assembler written in Python with neural network examples

Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper

Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' https://www.biorxiv.org/content/10.1101/2023.03.29.534672v1 &…

神念脑电专注度算法

The code for performing MTL on object recognition with neural data

Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;

Implementation of the ST-GAT (Spatio-Temporal Graph Attention Network) for the detection and analysis of neonatal seizures using EEG, as described in our paper: "A Class-Imbalance Aware and Explain…

The code of the paper: EEG Motor Imagery Classification by Feature Extracted Deep 1D-CNN and Semi-Deep Fine-Tuning

A BCI application, computes alpha band of brain to speed up or slow down video based on your conscious attention