cdemutiis Goto Github PK

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

bots

ODSC workshop notebook

cdemutiis

Config files for my GitHub profile.

cnn_cifar10

Use a convolutional neural network to classify the dataset CIFAR 10

create-your-own-adventure

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

em_learning

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

extended_kalman_filter

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

highway_lanes_detection

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

keras-preprocessing

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

kidnapped_vehicle

Using a 2-dimensional Particle Filter to localize a vehicle

linear_gp_regression

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

local-odometry-techniques-mirto-

- Provided the MIRTO robot, designed and built by a team led by Dr. Franco Raimondi ([email protected]) 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.

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

nlp_regression

First stage of a biomedical event extractor

pid_controller

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

pipeline

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

recipes

self-driving-car

The Udacity open source self-driving car project

tensorflow

Computation using data flow graphs for scalable machine learning

traffic_sign_classifier

Traffic Sign Classifier using a convolutional neural network

transfer_learning

Transfer Learning

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