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10billionhongbaos

golang 实现单机支持100万用户，同时模拟了2015年微信红包的1400万QPS的场景，让服务器在压力下，轻松地完成业务。

30daymakeos

《30天自制操作系统》源码中文版。自己制作一个操作系统（OSASK）的过程

3dconstruction

some functions to construct 3d structure from a set of 2d images

3dmv

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

algorithm_interview_notes-chinese

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

arthas

Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

avod

Code for 3D object detection for autonomous driving

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bundlefusion

how to expand to a universal architecture

caffe

Caffe: a fast open framework for deep learning.

cnn_depth_tensorflow

depth estimation using tensorflow

continuouscrf-cnn

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deconvcaffe

fork Semantic Segmention using deconvolution net

deeplab_v2

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

developer-roadmap

Roadmap to becoming a developer in 2022

dl4g

Example code for the Siggraph Asia Tutorial CreativeAI

easy12306

使用机器学习算法完成对12306验证码的自动识别

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

fund-strategy

基金投资策略分析，基金回测工具

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hed

code for Holistically-Nested Edge Detection

hmr

Project page for End-to-end Recovery of Human Shape and Pose

iternet-rgb-d

Learning to Reconstruct and Understand Indoor Scenes from Sparse Views