MxShun3301 (chiehchiu)

chiehchiu

Geek Repo

Location:Beijing,China

Home Page:http://chiehchiu.github.io/

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MxShun3301's repositories

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

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roc_comparison

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

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CVPR2020-Paper-Code-Interpretation

cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理

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mmcv

Open MMLab Computer Vision Foundation

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ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

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pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

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models

Models and examples built with TensorFlow

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ML_GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

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MSDNet

Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)

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brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

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MTMR-NET

Code for 《Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis》

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Siamese-Networks-for-One-Shot-Learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

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awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

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really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

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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.

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Detectron-Cascade-RCNN

Cascade R-CNN in Detectron

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IBN-Net.mxnet

:fire:A MXNet implementation of IBN-Net (Resnet-IBN-a, Resnext-IBN-a, Resnext-IBN-b):fire:

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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:

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AttGAN-Tensorflow

AttGAN Tensorflow Arbitrary Facial Attribute Editing: Only Change What You Want

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ResidualAttentionNetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

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TuSimple-DUC

Understanding Convolution for Semantic Segmentation

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Deformable-ConvNets

Deformable Convolutional Networks

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densenet.mxnet

:fire:A MXNet implementation of DenseNet (with BC structure):fire:

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gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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focal-loss

Focal loss for Dense Object Detection

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residual-attention-network

Residual Attention Network for Image Classification

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