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Name: Duaa Mahmoud
Type: User
Location: USA
Name: Duaa Mahmoud
Type: User
Location: USA
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
My Homework for Aritificial Intelligence for Robotics-Udacity CS373 course taught by Sebastian Thrun
Autonomous mobile robotics algorithms.
Learning robotics using a turtlebot
A C++ Inversion of Control Framework
Reading list for research topics in multimodal machine learning
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace
README and scripts for the Cityscapes Dataset
End-to-end learning of optical communication systems
Modelling dynamics of ultrashort mid-IR laser pulses in optical systems with CO2 amplifiers
Coursera/Stanford Machine Learning course assignments in python
DeepLearning Examples using TensorFlow
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Lane detection
This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.
Multilayers fiber mode solver
Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.
Integrating Deep Reinforcement Learning with Path planning for Automated Driving
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2020.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Introduction to Autonomous Robots
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
LiDAR annotation tool using ray tracing and bounding boxes.
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
segmentation and classification of lidar point cloud data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
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.