fengweie

1st-in-MICCAI-GAMMA-2021-challenge

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

AlgorithmsByPython

算法/数据结构/Python/剑指offer/机器学习/leetcode

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

fengweie.github.io

Human-Emotion-Analysis-using-EEG-from-DEAP-dataset

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

MICCAI2019-OpenSourcePapers

MICCAI 2019 Open Source Papers

SE_ASA

AAAI 2023 paper "Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraint and Adaptive Semantic Alignment"

transformer_ep

Code for paper:"Development and validation of a deep learning model for treatment response prediction in newly diagnosed epilepsy."

UDA_CLR

Code for our miccai 2022 paper “Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization”.

fengweie/AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

fengweie/Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

fengweie/awesomeCV

记录state-of-art计算机视觉相关论文。

fengweie/BNM

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

fengweie/BUS-GAN

Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network

fengweie/CRST

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

fengweie/CS-Notes

我的自学笔记，在学习ML System，整理C++、算法、操作系统，后续学习分布式系统，终身更新。

fengweie/DeepAttnMISL_MEDIA

Contain codes of MEDIA'20 paper

fengweie/deepfake-image-detection

Predict if an image is real or generated by GANs (fake)

fengweie/Domain-generalization

All about domain generalization

fengweie/EMANet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

fengweie/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)

fengweie/FewShotPapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

fengweie/MedicalZooPytorch

MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

fengweie/MedUncertainty

Uncertainty in Medical Image Analysis

fengweie/moabb

Mother of All BCI Benchmarks

fengweie/MONAI

AI Toolkit for Healthcare Imaging

fengweie/MS-DA-MIL-CNN

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

fengweie/pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

fengweie/pyRiemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

fengweie/python-wsi-preprocessing

Python Whole Slide Image Preprocessing

fengweie/PyTorch-Networks

Pytorch implementation of cnn network

fengweie/pytorch_compact_bilinear_pooling

Compact Bilinear Pooling for PyTorch

fengweie/Reading_list

reading list for deep learning —— PHD life

fengweie/Research-Softmax-with-Mutual-Information

Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".

fengweie/scribble2label

Official PyTorch implementation of Scribble2Label (MICCAI 2020)

fengweie/SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

fengweie/Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

fengweie/TLBCI

Matlab source code of the paper "D. Wu, R. Peng, J. Huang and Z. Zeng, Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline, IEEE Computational Intelligence Magazine, 2020, submitted."

fengweie/VoxelMorph-torch