hyt970629's repositories
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pyRiemann
Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive definite matrices in Python
braindecode
Deep learning software to decode EEG, ECG or MEG signals
HAPPE
EEG Pre-Processing Pipeline
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
Deep-BCI
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
SST-EmotionNet
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
FBCNet
FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
P3Net
Source codes for reproducing the results presented in "A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces" paper.
Transfer-Learning-Library
Transfer-Learning-Library
Transfer-Learning-Toolkit
Transfer Learning Toolkit for Primary Researchers
OpenBMI
An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms
PRMLT
Matlab code for machine learning algorithms in book PRML
Epilepsy-prediction
Pattern recognition task
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
MTLF
A Unified Framework for Metric Transfer Learning
covariancetoolbox
Covariance toolbox for matlab, including riemannian geometry
domain-adaptation-toolbox
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms