mmarouen/CarND-E2E_Autonomous_Navigation

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Created over 5 years ago
Updated over 5 years ago

mmarouen/CarND-E2E_Autonomous_Navigation

mmarouen

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Programming a real self driving car: Detecting and stopping at traffic lights, respecting speed limits, jerk and acceleration limits.

The-Elements-Of-Statistical-Learning

This repository contains R code for exercices and plots in the famous book.

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

marabou

natural language processing and computer vision use cases for non technical user

Deep-Neural-Net-Py

A framework for neural network in Python. Implements multi layer perceptron and autoencoders

Deep-Neural-Net

Flexible deep learning neural network. Implements a multi layer perceptron and autoencoders.

linear-Models-Classification

R packages Implementing linear models for classification

linear-Models-Regression

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

SVM_Framework_py

Flexible SVM framework implementation