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Advanced lane detection using computer vision
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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[email protected] 版权所有,违权必究 Tan 2018.06
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Pytorch implementation of various Attention Mechanism
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Sandbox for training convolutional networks for computer vision
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Ros node to use LaneNet to detect the lane in camera
Lane detection and tracking
《统计学习方法》的代码实现
🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛~
Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression"
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
All Algorithms implemented in Python
An Open Source Python Framework for Prototyping ADAS and Autonomous Vehicles
Some tricks of pytorch... :star:
:mortar_board: RESEARCH [:car: + :eyes:] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomous vehicle applications.
A collection of loss functions for medical image segmentation
A Theory and Practical Guide to Deep Learning Semantic Segmentation
Datawhale组队学习计划与课程内容
Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3
TuSimple lane detection dataset addon with class information.
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Code for https://unsupervised-llamas.com
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.