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BrainPrep
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.ImageRegistration
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.GNN-Pytorch
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.RL-Python-Pytorch
《强化学习-原理与Python实现》的Pytorch实现。BTClassification
Brain tumor classification on structural MR images of BraTS dataset based on 3D Multi-Scale Convolutional Neural Network, which is a part of my master thesis project.CellDetection
A course project that detect cells in image by a simple full convolution neural network. The project is driven by TensorFlow.BioMassters
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery.CTReconstruction
Matlab code for: 1. reconstructing CT image by applying back projection, filtered back projection and convolution back projection; 2. maximum intensity projection.ADDetection
Alzheimer's Disease Detection from structural brain MR images of ADNI dataset by 3D Multi-Scale Convolutional Neural Network, which is a part of my master thesis project.MLAlgorithms
Python implementations of conventional Machine Learning Algorithms.Planet
Solution for Kaggle competition Planet: Understanding the Amazon from Space. (https://www.kaggle.com/c/planet-understanding-the-amazon-from-space)SegBrain
This is an implementation of a simple neural network to segment brain tissues in simulation volume provided by BrainWeb.MachineLearningCoursera
Some Python code for the lecture of Machine Learning in Coursera. Complete each assignment in Python.GoRosalind
Solutions of Bioinformatics Problems in Rosalind Using GoLang primarily.ECG-MLC
Multi-label classfication of 8-leads ECGs.Hackerrank_Python
Implementations of HackerRand problems, including 30 Days of Code, 10-days-of-statistics, Algorithm and Project Euler +.ReadWiki-ZH
Convert WIKI dumped XML (Chinese) to human readable documents in markdown and txt.AdversarialAttack
Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.Love Open Source and this site? Check out how you can help us