cdemutiis

Advanced_Lanes_Detection

Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits

Behavioral-Cloning

Teach a convolutional neural network (NVIDIA architecture) how to drive using the Udacity self-driving car simulator

Boston_housing_prices

Predicting Boston Housing Prices with Decision Trees

EM_LEARNING

EM learning for a mixture of K multivariate Bernoullis with binary images

highway_lanes_detection

Detecting highway lane lines on a video stream with a Hough Transform and a Canny edge detector

LSTM_RNN_Text_generation

Using the book Anna Karenina by Leo Tolstoy as a training source for text generation using RNN and LSTM

Model_Predictive_Control

Using Model Predictive Control to drive a car around the track on the Udacity Simulator

Traffic_Sign_Classifier

Traffic Sign Classifier using a convolutional neural network

Unscented_Kalman_Filter

Using an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements

Vehicle_Detection_and_Tracking

Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and tracking

cdemutiis/Advanced_Lanes_Detection

Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits

cdemutiis/Vehicle_Detection_and_Tracking

Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and tracking

cdemutiis/highway_lanes_detection

Detecting highway lane lines on a video stream with a Hough Transform and a Canny edge detector

cdemutiis/Traffic_Sign_Classifier

Traffic Sign Classifier using a convolutional neural network

cdemutiis/EM_LEARNING

EM learning for a mixture of K multivariate Bernoullis with binary images

cdemutiis/LSTM_RNN_Text_generation

Using the book Anna Karenina by Leo Tolstoy as a training source for text generation using RNN and LSTM

cdemutiis/Model_Predictive_Control

Using Model Predictive Control to drive a car around the track on the Udacity Simulator

cdemutiis/Behavioral-Cloning

Teach a convolutional neural network (NVIDIA architecture) how to drive using the Udacity self-driving car simulator

cdemutiis/Boston_housing_prices

Predicting Boston Housing Prices with Decision Trees

cdemutiis/bots

ODSC workshop notebook

cdemutiis/CNN_CIFAR10

Use a convolutional neural network to classify the dataset CIFAR 10

cdemutiis/create-your-own-adventure

cdemutiis/Extended_Kalman_Filter

Using a Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements

cdemutiis/keras-preprocessing

Utilities for working with image data, text data, and sequence data.

cdemutiis/Kidnapped_Vehicle

Using a 2-dimensional Particle Filter to localize a vehicle

cdemutiis/linear_gp_regression

Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time

cdemutiis/Local-Odometry-Techniques-MIRTO-

- Provided the MIRTO robot, designed and built by a team led by Dr. Franco Raimondi (F.Raimondi@mdx.ac.uk) at Middlesex University London, with autonomous navigation planning capabilities. - Wrote a library of high-level odometrical functionalities (i.e. Java methods) to allow MIRTO to perform actions such as rotating, translating and moving towards a specific point in space while avoiding all obstacles on the way. - Developed a navigation algorithm that only makes use of MIRTO's wheels' encoders and bumpers sensors. - Used MIRTO to test the newly developed navigation algorithm.

cdemutiis/NLP_regression

First stage of a biomedical event extractor

cdemutiis/PID_controller

Using a PID controller to drive a car around the track on the Udacity Simulator

cdemutiis/pipeline

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

cdemutiis/recipes

cdemutiis/self-driving-car

The Udacity open source self-driving car project

cdemutiis/tensorflow

Computation using data flow graphs for scalable machine learning

cdemutiis/transfer_learning

Transfer Learning

cdemutiis/Unscented_Kalman_Filter

Using an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements

cdemutiis/cdemutiis

Config files for my GitHub profile.

cdemutiis/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program