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The-Elements-Of-Statistical-Learning
This repository contains R code for exercices and plots in the famous book.SFND_Lidar_Obstacle_Detection
Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speedCarND-E2E_Autonomous_Navigation
Programming a real self driving car: Detecting and stopping at traffic lights, respecting speed limits, jerk and acceleration limits.marabou
natural language processing and computer vision use cases for non technical userDeep-Neural-Net-Py
A framework for neural network in Python. Implements multi layer perceptron and autoencodersDeep-Neural-Net
Flexible deep learning neural network. Implements a multi layer perceptron and autoencoders.linear-Models-Classification
R packages Implementing linear models for classificationlinear-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 implementationLove Open Source and this site? Check out how you can help us