Stars
MLSTM implementation for the DEAP dataset to estimate emotion-related features (valence, arousal) based on GSR, respiration, PPG, and temperature signals.
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K -…
Including some machine learning and artificial intellegent examples
基于OpenBCI（Bciduino）完成的SSVEP项目，包括刺激器、信号实时传输、以及基于FFT的脑电信号分类、蓝牙小车的脑电控制
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…