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algorithms

Minimal examples of data structures and algorithms in Python

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

architect-awesome

后端架构师技术图谱

autokeras

This is an automated machine learning (AutoML) package.

awesome-cpp

C++ resource·

beginning-markdown

关于初学Markdown的笔记和总结

caffe-android-lib

Porting caffe to android platform

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

chineseocr

yolo3+ocr

cmake-init

Template for reliable, cross-platform C++ project setup using cmake.

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

depthwiseconvolution

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dev-docs

服务于极市平台开发者的项目，提供SDK接口文件规范与常见问题示例代码。欢迎所有开发者一起参与示例代码编写。

dlib-android

:dragon: Port dlib to Android

dlib-android-app

:dragon: Android app to demo dlib-android(https://github.com/tzutalin/dlib-android). Use the prebuilt shared-lib built from dlib-android

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

faceac

人脸识别扫描（活体检测功能，眨眼、摇头、点头），身份证认证

facedatasets

Some scripts to process face datasets.

facedetection-dsfd

facerecognitionapp

Face Recognition Android App

faceverification

An Experimental Implementation of Face Verification, 96.8% on LFW.

fashion-detection

Fashion Detection in the Wild (Deep Clothes Detector)

fashion-landmarks

Fashion Landmark Detection in the Wild

flatbuffers

Memory Efficient Serialization Library

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"