mmarouen
AI specialist as a job and passion. Sharing knowledge is the main purpose for this repository.
Stuttgart
Pinned Repositories
CarND-E2E_Autonomous_Navigation
Programming a real self driving car: Detecting and stopping at traffic lights, respecting speed limits, jerk and acceleration limits.
Deep-Neural-Net
Flexible deep learning neural network. Implements a multi layer perceptron and autoencoders.
Deep-Neural-Net-Py
A framework for neural network in Python. Implements multi layer perceptron and autoencoders
hascode
proposed solutions for some google hashcode chellenges
IntroductionToAlgorithms
Review of the famous book introduction to algorithms
linear-Models-Classification
R packages Implementing linear models for classification
marabou
natural language processing and computer vision use cases for non technical user
Rospi-Lot
Inspired by comma.ai OpenPilot idea, this is an AD Autopilot on RaspberryPi based on ROS called RosPilot. The project currently performs lane follow feature. The codebase is written to be modular, enable quick prototyping and facilitate learning and collaboration across multiple users. The hardware used so far is the donkey car robocar + RPI 3
SFND_Lidar_Obstacle_Detection
Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speed
The-Elements-Of-Statistical-Learning
This repository contains R code for exercices and plots in the famous book.
mmarouen's Repositories
mmarouen/The-Elements-Of-Statistical-Learning
This repository contains R code for exercices and plots in the famous book.
mmarouen/Rospi-Lot
Inspired by comma.ai OpenPilot idea, this is an AD Autopilot on RaspberryPi based on ROS called RosPilot. The project currently performs lane follow feature. The codebase is written to be modular, enable quick prototyping and facilitate learning and collaboration across multiple users. The hardware used so far is the donkey car robocar + RPI 3
mmarouen/SFND_Lidar_Obstacle_Detection
Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speed
mmarouen/CarND-E2E_Autonomous_Navigation
Programming a real self driving car: Detecting and stopping at traffic lights, respecting speed limits, jerk and acceleration limits.
mmarouen/marabou
natural language processing and computer vision use cases for non technical user
mmarouen/Deep-Neural-Net
Flexible deep learning neural network. Implements a multi layer perceptron and autoencoders.
mmarouen/Deep-Neural-Net-Py
A framework for neural network in Python. Implements multi layer perceptron and autoencoders
mmarouen/linear-Models-Classification
R packages Implementing linear models for classification
mmarouen/linear-Models-Regression
R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...
mmarouen/SVM_Framework_py
Flexible SVM framework implementation
mmarouen/hascode
proposed solutions for some google hashcode chellenges
mmarouen/IntroductionToAlgorithms
Review of the famous book introduction to algorithms
mmarouen/CarND-Advanced-Lane-Lines-master
Advanced automatic lanes detection and annotation in realtime video streams
mmarouen/CarND-Behavioral-Cloning-P3
Self driving using behavior cloning on Keras
mmarouen/CarND-Extended-Kalman-Filter-Project
Use of EKF to track a moving object
mmarouen/CarND-Kidnapped-Vehicle-Project
Implement a 2 dimensional particle filter in C++ given a map and some initial localization information (analogous to what a GPS would provide). At each time step, the filter gets observation and control data
mmarouen/CarND-LaneLines-P1
Automatic lanes detection and annotation in realtime video streams
mmarouen/CarND-Path_Planning-Project
Safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit
mmarouen/CarND-PID-Control
Use a PID controller to control the steering angle and throttle for driving a car in a car game simulator.
mmarouen/CarND-Traffic-Sign-Classifier-Project
Traffic sign classifier using tensorflow on the german traffic dataset
mmarouen/CNN
Convolutional Neural Network framework
mmarouen/ESLMixtures
Implementing book mixtures according to provided recipes !
mmarouen/Road-Lane-Semantic-segmentation
Implementing FCN8 and FCN32 semantic segmentation models to classify pixels in road scenes.
mmarouen/SFND_2D_Feature_Tracking
Car collision detection system using computer vision techniques. For this purpose, a feature tracking/mathing system is implemented using various detector / descriptor pairs
mmarouen/SFND_3D_Object_Tracking
mmarouen/SFND_Radar_Target_Generation_Detection
mmarouen/SFND_Unscented_Kalman_Filter
Unscented Kalman Filter to estimate the state of multiple cars on a simulated highway environment using noisy lidar and radar measurements
mmarouen/SVM_Framework
Support vector machines flexible framework