panxipeng Goto Github PK

2016_person_re-id

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

autokeras

Accessible AutoML for deep learning.

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baidu-dogs

Baidu competition for classifying dogs. More information is provided at http://js.baidu.com

baidu_dogs

百度西交第三届大数据比赛Baseline(全国第4名)

bilinear-cnn-tensorflow

This is an implementation of Bilinear CNN using TensorFlow.

brainstorm

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

buptthesis-ctex

Yet anoter BUPT Thesis LaTeX class

camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

camelyon16-challenge

This is the Challenge Project of ISBI 2016. Our result ranked in the 1st out of 20+ teams in the August 29 re-submission.

camelyon16-grand-challenge

Camelyon'16 grand challenge for detecting breast cancer from Histopathological Whole Slide Images

camelyon17

CAMELYON 2017 Pathology/Bio-Imaging Competition

camelyon17-1

cavia

Code for "Fast Context Adaptation via Meta-Learning"

cell-nuclei-detection-and-segmentation

Detect location and draw boundary of nuclei from microscopic images

cell_counting_v2

cgc-net

cell graph convolutional network

coderelease_colornormalization

This is the MATLAB code for stain separation and color normalization in computational pathology (histopathological images)

compath

deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma"

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convolutionalautoencoder

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

cuv

Matrix library for CUDA in C++ and Python

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-stroma-histology

Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer

deepcell-tf

Deep Learning Library for Single Cell Analysis

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.