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100-days-of-ml-code

100-Days-Of-ML-Code中文版

106-landmarks-dataset

A dataset for 106 facial landmarks

a-light-and-fast-face-detector-for-edge-devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

acmjudger

ACM在线测评系统评测程序设计与实现

ai-demo

aismart

AI App that based on Rose

algorithm

数据结构与算法

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码

android-gpuimage-plus

Android Image & Camera Filters Based on OpenGL.

arch

极客时间专栏《许式伟的架构课》相关的源代码

asr-server

FastCGI support for Kaldi ASR

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统，使用CNN和CTC实现

awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baseline

Strong Deep-Learning Baseline algorithms for NLP

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2).

bigdataarchitect

bitcoin

Bitcoin Core integration/staging tree

blockchain_go

A simplified blockchain implementation in Golang

bosssensor

Hide screen when boss is approaching.

caffe

Caffe: a fast open framework for deep learning.

caffe21days

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caincamera

CainCamera is an Android Project to learn about development of beauty camera, image and short video

canalx

基于 `Canal` 的数据感知服务框架. 可用于围绕数据库`Mysql`进行数据相关的各式业务开发, 并建立各式各样的服务平台.

cc5.0

CC for Caffe，基于Caffe改造的深度学习框架，为Caffe添加基于C++的网络构建、友好的Train和Inference框架

chinese_ocr

yolo3 + densenet ocr

cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)