JiaxinYou97

Spearmint

Spearmint Bayesian optimization codebase

DeepSpell

a Deep Learning based Speller

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

time_varying_PAC

Time-Varying Phase-to-Amplitude Coupling

ssqueezepy

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

Transformer-for-EEG

modify self-attention model for EEG signal as input and image embedding layer as output

xsleepnet

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

UNETR

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

MONAI

AI Toolkit for Healthcare Imaging

ILA-DA

MCD_DA

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

GDANN

demo of GDANN (https://www.mdpi.com/1424-8220/21/7/2369/htm#)

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

vision_transformer

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

detr

End-to-End Object Detection with Transformers

color_your_figure

I don't want to google "how to set up parameter for a customized figure" every time.. So I create this one

DeepSleep

segmentation_models.pytorch

Semantic segmentation models with pretrained convolutional and transformer-based backbones. PyTorch.

tinysleepnet

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

stanford-stages

Automated sleep staging scoring and narcolepsy identification

braindecode

Deep learning software to decode EEG, ECG or MEG signals

braindecode

Outdated, see new https://github.com/braindecode/braindecode

braindecode

Moved to https://github.com/TNTLFreiburg/braindecode!

bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

U-Time

U-Time: A Fully Convolutional Network for Time Series Segmentation