DLyzhou

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

jsws

Code for our paper in ICCV2019, ``Joint learning of saliency detection and weakly supervised semantic segmentation"

3D-Unet--Tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

BraTS2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

DeepSeeNet

:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

PlaqueRL

MARL-for-Anatomical-Landmark-Detection

Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper

SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

classification_models

Classification models trained on ImageNet. Keras.

PoolNet

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

DAVSOD

Shifting More Attention to Video Salient Objection Detection, CVPR2019, Best Paper Finalist & Oral (Accept rate: 0.87% [45/5160])

awesome-image-classification

A curated list of deep learning image classification papers and codes

ADL

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)

tensorflow-class-activation-mapping

Learning Deep Features for Discriminative Localization (2016)

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

AI_Clinician

Reinforcement learning for medical decisions

DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

av-segmentation

pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

attention_branch_network

Attention Branch Network (CIFAR100, ImageNet models)

ANCIS-Pytorch

Attentive Neural Cell Instance Segmentation

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

LACNN

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

DAF3D

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound