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wartensie168's Projects

apriltag icon apriltag

AprilTag is a visual fiducial system popular for robotics research.

bsc_lcs icon bsc_lcs

Implementation of Brain Signal Classification via Learning Connectivity Structure

campus_recruitmen_questions icon campus_recruitmen_questions

2021年最新整理,5000道秋招/提前批/春招/常用面试题(含答案),包括leetcode,校招笔试题,面试题,算法题,语法题。

conformer icon conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

eeg-transformer icon eeg-transformer

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

federated-transfer-learning-for-eeg icon federated-transfer-learning-for-eeg

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

keras-leraning icon keras-leraning

这是一个自学Keras的笔记,记录了常用的方法和一些坑,方便以后回溯

m3s icon m3s

Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

mi-eeg-1d-cnn icon mi-eeg-1d-cnn

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

mprnet icon mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

mups-eeg icon mups-eeg

Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

remote-sensing-scene-classification icon remote-sensing-scene-classification

For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilinear feature extraction structure. The idea of branch feature fusion was proposed to fuse the extracted features of different branches.

ss-gcns icon ss-gcns

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

tensor2tensor icon tensor2tensor

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

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