Code Monkey home page Code Monkey logo

hanzhy-code's Projects

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

dive-into-dl-pytorch icon dive-into-dl-pytorch

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。

efficient-segmentation-networks icon efficient-segmentation-networks

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.)

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

imgclsmob icon imgclsmob

Sandbox for training convolutional networks for computer vision

lanenet-lane-detection icon lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lanenetros icon lanenetros

Ros node to use LaneNet to detect the lane in camera

pat icon pat

🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛~

polylanenet icon polylanenet

Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression"

pumpkin-book icon pumpkin-book

《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

python icon python

All Algorithms implemented in Python

pythonpilot icon pythonpilot

An Open Source Python Framework for Prototyping ADAS and Autonomous Vehicles

robust-lane-detection-and-tracking icon robust-lane-detection-and-tracking

: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.

segloss icon segloss

A collection of loss functions for medical image segmentation

tusimple-benchmark icon tusimple-benchmark

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.