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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

brocolli

pytorch 2 caffe

cartographer_detailed_comments_ws

cartographer work space with detailed comments

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

ccnet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

ce2p

detnet_pytorch

An implementation of DetNet: A Backbone network for Object Detection.

face-recognition--summary

graphsage

Representation learning on large graphs using stochastic graph convolutions.

leetcode-

记录leetcode的解题思路、答案

lihang-code

《统计学习方法》的代码实现

maskrcnn_body25

基于 联合姿态先验的人体精确解析双分支网络模型 方法的人体解析

mmdetection

Open MMLab Detection Toolbox

nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

pose-ae-train

Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

pytorch-mula

Pytorch implementation of Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation (ECCV'18)

recognition_oct

face recognition added octave convolution

satellite-segmentation

slam

slam源码分析

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

visual-localization-percessing

SLAM && Growing