MxShun3301's repositories
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
mmcv
Open MMLab Computer Vision Foundation
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
pseudo-3d-pytorch
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
models
Models and examples built with TensorFlow
MSDNet
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
MTMR-NET
Code for 《Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis》
Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
Guided-Attention-Inference-Network
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
Detectron-Cascade-RCNN
Cascade R-CNN in Detectron
IBN-Net.mxnet
:fire:A MXNet implementation of IBN-Net (Resnet-IBN-a, Resnext-IBN-a, Resnext-IBN-b):fire:
SENet.mxnet
:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:
AttGAN-Tensorflow
AttGAN Tensorflow Arbitrary Facial Attribute Editing: Only Change What You Want
ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
TuSimple-DUC
Understanding Convolution for Semantic Segmentation
Deformable-ConvNets
Deformable Convolutional Networks
densenet.mxnet
:fire:A MXNet implementation of DenseNet (with BC structure):fire:
gluon-api
A clear, concise, simple yet powerful and efficient API for deep learning.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
focal-loss
Focal loss for Dense Object Detection
residual-attention-network
Residual Attention Network for Image Classification