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3d-cgan

3D conditional GAN for medical image segmentation

3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3d_dense_transformer_networks

A extended work of the Dense_Transformer_Networks

3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

3dfasterrcnn_lungnoduledetector

3dgan

monocular depth estimation with conditional, generative adversarial networks

3dunet-tensorflow-brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

3dunetcnn

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

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

adaptive_color_deconvolution

adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

amid

Awesome Medical Imaging Datasets

aml

Classification of recurrent and non-recurrent cancer nuclei images

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

augmented_cyclegan

autoencoder3d

Convolutional 3D autoencoder

autonomous_driving

autonomous_driving repo, esp. for car trajectory prediction

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bag-of-visual-words-python

Implementing Bag of Visual words approach for object classification and detection

basic-yolo-keras

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bbox-label-tool

A simple tool for labeling object bounding boxes in images

bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

bilinear-cnn-tensorflow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

bird_classification

Fine-grained classification of bird images from Caltech-UCSD Birds-200-2011 dataset

birds-stn

Code to reproduce Spatial Transformer Networks results on fine grained classification

boxcars

Source code related to BoxCars publication

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge