Kyon0478's Stars
bobbyiliev/introduction-to-bash-scripting
Free Introduction to Bash Scripting eBook
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
yiakwy/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY
semantic visual slam for monocular and stereo camera devices
Mq-b/Loser-HomeWork
卢瑟们的作业展示,答案讲解,以及一些C++知识
KnightofDawn/book-1
doublequan/CSAPP
csapp labs
NJU-ProjectN/ics-pa-gitbook
Hansimov/csapp
个人整理的《深入理解计算机系统》中文电子版(原书第 3 版)与实验材料:https://hansimov.gitbook.io/csapp/
wudeng/ebook
1c7/Crash-Course-Computer-Science-Chinese
:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成) B站播放量 383万
liuyubobobo/Play-with-Algorithms
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码,包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
UZ-SLAMLab/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
wangshusen/AdvancedAlgorithms
ApolloAuto/apollo
An open autonomous driving platform
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
crvs/KDTree
Simple C++ KD-Tree implementation
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
gishi523/stixel-world
An implementation of stixel computation
GeekLiB/Lee-SLAM-source
SLAM 开发学习资源与经验分享
eddyhkchiu/mahalanobis_3d_multi_object_tracking
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
ctgk/PRML
PRML algorithms implemented in Python
TommyZihao/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
leandromoreira/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
hmgle/h264_to_rtp
Send H264 file by RTP over UDP