xuezhisd

Xuezhi Zhang's repositories

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

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free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

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xuezhisd.github.io

张学志の博客

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xuezhisd.github.io.hexo

the source file of my blog xuezhisd.github.io

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AnyNet

Anytime Stereo Image Depth Estimation on Mobile Devices

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arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

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core

Cloud9 Core - Part of the Cloud9 SDK for Plugin Development https://c9.github.io/core/ https://c9.io

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CSPN

Convolutional Spatial Propagation Network

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Detectron

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

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DORN

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dso

Direct Sparse Odometry

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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g2o_ba_example

An easy example of doing bundle adjustment within two images using g2o.

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g2odoc

the help document of g2o

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huginn

Create agents that monitor and act on your behalf. Your agents are standing by!

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interview_python

关于Python的面试题

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LeetCodeCrowdsource

众包LeetCode

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lsd_slam

LSD-SLAM

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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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pwc

Papers with code. Sorted by stars. Updated weekly.

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PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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Recent_SLAM_Research

跟踪SLAM前沿动态【周更】

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rpg_svo

Semi-direct Visual Odometry

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SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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SfmLearner-Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

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slambook

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sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

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vimrc

The ultimate Vim configuration: vimrc

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xmr-stak

Unified All-in-one Monero miner

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xuezhisd.github.io.img

the source img file of my blog http://xuezhisd.github.io

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