Pinned Repositories
Autoware
Open-source software for urban autonomous driving.
birthday
:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/
caffe
Caffe: a fast open framework for deep learning.
Cpp_Primer_Answers
《C++ Primer》第五版中文版习题答案
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。
cvpr2015
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
docker-cheat-sheet
Docker Cheat Sheet
flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
gitskilles
wasedawesley's Repositories
wasedawesley/Autoware
Open-source software for urban autonomous driving.
wasedawesley/birthday
:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/
wasedawesley/caffe
Caffe: a fast open framework for deep learning.
wasedawesley/Cpp_Primer_Answers
《C++ Primer》第五版中文版习题答案
wasedawesley/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。
wasedawesley/cvpr2015
wasedawesley/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
wasedawesley/docker-cheat-sheet
Docker Cheat Sheet
wasedawesley/flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
wasedawesley/gitskilles
wasedawesley/hux_wasedawesley.github.io
wasedawesley/Introduction
Basic knowledge for Ogai Lab.
wasedawesley/joystick2coms
Joystick Package for Ohgai Lab, Waseda
wasedawesley/learinggit
wasedawesley/leetcode-py-ans
wasedawesley/loveBalloon
:balloon:塞纳河畔，左岸的咖啡。告白气球，飞入我的心扉。https://ajlovechina.github.io/loveBalloon/.
wasedawesley/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
wasedawesley/ML_codes
wasedawesley/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
wasedawesley/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
wasedawesley/VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator
wasedawesley/wangxiang
wasedawesley/wasedawesley
wasedawesley/wasedawesley.github.io
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