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2-18-table

aamlibrary

Active Appearance Model C++ Library

adversarialnetspapers

The classical paper list with code about generative adversarial nets

alexnet_with_tensorflow

an implement of AlexNet with tensorflow, which has a detailed explanation.

asmlibrary

Active Shape Model C++ Library

codinginterviewchinese2

SourceCode

cornerstone

JavaScript library to display interactive medical images including but not limited to DICOM

cornerstonemath

Math and computation geometry functionality for cornerstone

cornerstonetools

A framework for tools built on top of Cornerstone.

cornerstonewadoimageloader

DICOM WADO Image Loader for the cornerstone library

cornerstonewebimageloader

Cornerstone Image Loader for Web Images (PNG, JPEG)

curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

dbn_tf

RBM/DBN implementation with tensorflow attempt project

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dicomparser

JavaScript parser for DICOM Part 10 data

faster_rcnn

Faster R-CNN

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

keras-applications

Reference implementations of popular deep learning models.

keras-resnet

Residual networks implementation using Keras-1.0 functional API

learngit

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

plants_classification

plants-resized-data

practice-cpp

python-scikit-learn

Some scikit-learn datasets and samples

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection