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2d-and-3d-deep-autoencoder

Convolutional AutoEncoder application on MRI images

2d-retinanet-for-prostate-localization-in-mpmri

Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.

3d-cnn-fmri-asd

3d-densenet

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization-1

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3d-multi-resolution-model-for-diagnosis-of-multiple-pathological-types-on-pulmonary-nodules

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

3dcnn-with-keras

This is code for 3DCNN model base UCF101 dataset. it fix other project min error: https://github.com/kcct-fujimotolab/3DCNN

3dsift

multi thread implementation of 3D SIFT

3dunet_cnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

4dsurvival

Deep learning cardiac motion analysis for survival prediction

5years

a-fast-and-compact-3-d-cnn-for-hsic

The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

abide-preprocessing-and-modeling

ae_bakeoff

The Great Autoencoder Bake Off

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algo

数据结构和算法必知必会的50个代码实现

algorithm

:art:冒泡排序；直接插入排序；希尔排序；快速排序；堆排序；归并排序；基数排序

amaretto

Regulatory network inference and driver gene evaluation using integrative multi-omics analysis and penalized regression

anatomynet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

ant-design

🌈 A UI Design Language and React UI library

ant-learn-algorithm

蚂蚁学Python，微信公众号的，Python实现算法类题目的代码集合

ant-learn-numpy

Python科学计算库Numpy的代码实现

ant-learn-pandas

pandas学习课程代码仓库

ant-learn-python

蚂蚁学Python，微信公众号的代码仓库