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Name: Mohamed Ameen
Type: User
Company: @bosch
Bio: Software Engineering Manager | MSc in CS @gatech | MSc in Quantitative Finance at SOAS University of London
Location: Germany
Name: Mohamed Ameen
Type: User
Company: @bosch
Bio: Software Engineering Manager | MSc in CS @gatech | MSc in Quantitative Finance at SOAS University of London
Location: Germany
A Benchmark of Supervised Learning Algorithms
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.
In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.
Coursera Machine Learning Assignments
In this repository, I will publish my notes for GaTech's Advanced Operating Systems course (CS6210).
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
Predicting Titanic survival probability using several classification models
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.
In this project we will utilize a kalman filter to estimate the state of a moving object of interest with noisy LIDAR and radar measurements.
In this project we will utilize an unscented filter to estimate the state of a moving object of interest with noisy LIDAR and radar measurements.
In this project, I built a software pipeline to detect vehicles in a video.
In this project, we will implement a 2-dimensional particle filter in C++. The particle filter will be given a map and some initial localization information (analogous to what a GPS would provide) to localize a vehicle.
In this project, our goal is to design a path planning algorithm that is able to a car around a simulated highway scenario, including traffic and given waypoints, telemetry, and sensor fusion data.
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.
In this project, we implement a PID controller to steer the self driving car around the track in Udacity's Simulator.
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.