DLyzhou's repositories
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
3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
AI_Clinician
Reinforcement learning for medical decisions
ANCIS-Pytorch
Attentive Neural Cell Instance Segmentation
attention_branch_network
Attention Branch Network (CIFAR100, ImageNet models)
awesome-image-classification
A curated list of deep learning image classification papers and codes
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.
classification_models
Classification models trained on ImageNet. Keras.
DAF3D
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
DAVSOD
Shifting More Attention to Video Salient Objection Detection, CVPR2019, Best Paper Finalist & Oral (Accept rate: 0.87% [45/5160])
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
DeepSeeNet
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
jsws
Code for our paper in ICCV2019, ``Joint learning of saliency detection and weakly supervised semantic segmentation"
LACNN
Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
MARL-for-Anatomical-Landmark-Detection
Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper
PoolNet
Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
pytorch-mobilenet
PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
tensorflow-class-activation-mapping
Learning Deep Features for Discriminative Localization (2016)