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carnd-advanced-lane-lines-master

Advanced automatic lanes detection and annotation in realtime video streams

carnd-behavioral-cloning-p3

Self driving using behavior cloning on Keras

carnd-e2e_autonomous_navigation

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

carnd-extended-kalman-filter-project

Use of EKF to track a moving object

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

carnd-lanelines-p1

Automatic lanes detection and annotation in realtime video streams

carnd-path_planning-project

Safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit

carnd-pid-control

Use a PID controller to control the steering angle and throttle for driving a car in a car game simulator.

carnd-traffic-sign-classifier-project

Traffic sign classifier using tensorflow on the german traffic dataset

cnn

Convolutional Neural Network framework

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

eslmixtures

Implementing book mixtures according to provided recipes !

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

linear-models-regression

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

marabou

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

road-lane-semantic-segmentation

Implementing FCN8 and FCN32 semantic segmentation models to classify pixels in road scenes.

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_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

sfnd_3d_object_tracking

sfnd_lidar_obstacle_detection

Use lidar car data to detect incoming road obstacles track multiple cars on the road, estimating their positions and speed

sfnd_radar_target_generation_detection

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

svm_framework

Support vector machines flexible framework

svm_framework_py

Flexible SVM framework implementation

the-elements-of-statistical-learning

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