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Jacob_Liu's Projects

atiss icon atiss

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

backtrader icon backtrader

Python Backtesting library for trading strategies

cppprimer icon cppprimer

《C++ Primer第五版》学习笔记:books:

cs-books icon cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

easyquotation icon easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

higherhrnet-human-pose-estimation icon higherhrnet-human-pose-estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

hrformer icon hrformer

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

jacobliu-s.github.io icon jacobliu-s.github.io

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

learn-vim icon learn-vim

Vim 实操教程(Learning Vim)Vim practical tutorial.

leetcode-master icon leetcode-master

LeetCode 刷题攻略:配思维导图,100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解,以及难点视频题解。按照刷题攻略上的顺序来刷题,让你在算法学习上不再迷茫!🔥🔥给个star支持一下吧!🚀

markdown-resume-template icon markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了,避免没有必要的花哨修饰,大家可以fork到自己仓库中,基于这个模板进行修改。

medium-unlimited icon medium-unlimited

A browser extension to read medium.com articles for free without membership.

meva icon meva

Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)

mmhuman3d icon mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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