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2d-feature-tracking

3d-object-tracking

3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.

aipnd-revision

Revision to the code and associated files for the AI Programming with Python Nanodegree Program

app_dog_breed_classifier

Command line application that predicts the breed of a dog in a user supplied image. Built with PyTorch by using a transfer learning technique applied to various deep CNN architectures.

brain-tumor-radiogenomic-classification

This project, based on a Kaggle competition, demonstrates the full ML pipeline using AWS Sagemaker.

cnn-visualizations-pytorch

Exploration of various methods to visualize layers of deep Convolutional Neural Networks using Pytorch.

concurrent-traffic-simulation

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dl-image-classifier-app

Image classifier application using Pytorch and Torchvision.

dog_breed_classifier_app

interview_practice

Answers to some common, and not so common coding interview questions.

linux-system-monitor

mean-normalization-and-data-separation

This mini-project is for Udacity's AI Programming with Python Nanodegree

memory-management-chatbot

ml-sagemaker-studies

osm_cxx_astar_search

Implementation of the A* search algorithm using OpenStreet map and IO2D library. This project was for Udacity's C++ Nanodegree.

personal-website-app

pre-trained-dog-classifier

Use three pre-trained CNNs to classify dog breeds and compare the execution time of each. This project is for Udacity's AI Programming with Python Nanodegree.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

radar-target-generation-and-detection

sentiment-analysis-app

Movie review sentiment analysis application trained and deployed on AWS. End-to-end development and deployment process using AWS Sagemaker, Lambda, API Gateway

sfnd-lidar-obstacle-detection

stock_data_stats

This is a mini-project for Udacity's AI Programming nanodegree.

system-monitor

The second project for the Udacity C++ Nanodegree

udacity-ml-engineer

unscented-kalman-filter

Implementation of an Unscented Kalman Filter fusing Lidar and Radar data to estimate the state of an object.

vanilla_nn_bikeshare_model

Bike sharing predictive model built using Python, Numpy and Pandas which is based on a vanilla neural network architecture.

yolo3-object-detection

This project, for Udacity's C++ Nanodegree, uses YOLOv3 Deep Neural Network and OpenCV to detect objects in a user supplied video or webcam.