yuxiao2057

Pinned Repositories

attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Language:Python00
chhRobotics_CPP
自动驾驶规划控制常用算法c++代码实现
Language:C++00
Cpp-Primer-5th-Notes-CN
📚 《C++ Primer中文版（第5版）》笔记
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Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
Language:C++00
dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Language:Python00
hungarian_optimizer
A C++ demo for Hungarian algorithm (Kuhn-Munkres algorithm).
Language:C++00
NCL
This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022
Language:Python00
PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书
Language:Python00
TechCPP
【C++面试&C++学习指南】这里整理了C++后端研发工程师面试和工作必备的知识点。
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thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Language:Jupyter Notebook00

yuxiao2057's Repositories

yuxiao2057/thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
yuxiao2057/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Language:Python
yuxiao2057/PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书
Language:Python
yuxiao2057/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
Language:C++
yuxiao2057/chhRobotics_CPP
自动驾驶规划控制常用算法c++代码实现
yuxiao2057/TechCPP
【C++面试&C++学习指南】这里整理了C++后端研发工程师面试和工作必备的知识点。
yuxiao2057/Cpp-Primer-5th-Notes-CN
📚 《C++ Primer中文版（第5版）》笔记
yuxiao2057/dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
yuxiao2057/hungarian_optimizer
A C++ demo for Hungarian algorithm (Kuhn-Munkres algorithm).
yuxiao2057/NCL
This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022