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sunycl's Projects

eyeq

EyeQ : Dataset of Retinal Image Quality Assessment

face_recognition

The world's simplest facial recognition api for Python and the command line

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fishervector

Improved Fisher Vector Implementation

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

focal-loss-keras

Focal Loss implementation in Keras

frog-rcnn

Mask RCNN by Heng CherKeng

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

ganseg

Framework for medical image segmentation using deep neural networks

ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

github

GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.

ibn-net

Instance-Batch Normalization Networks (ECCV2018)

ifcc

The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

instancesegmentationlist

This repository contains lists of state-or-art semantic instance segmentation works

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

iseg2019

Solution to MICCAI iSeg-2019

joint_chestxray

Joint learning of chest radiographs and radiology reports

kaggle_2018_data_science_bowl_solution

4th place solution for 2018 Data Science Bowl kaggle competition

kaggle_airbus_ship_detection

Kaggle airbus ship detection challenge 21st solution

keras-docs-zh

Chinese (zh-cn) translation of the Keras docs.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-non-local-nets

Keras implementation of Non-local Neural Networks

kits19-challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

lits---liver-tumor-segmentation-challenge

LiTS - Liver Tumor Segmentation Challenge

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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