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3d-temperature-scalar-data-visualization

Visually Explore Temperature Distribution in a Particular Region. Perform visual analysis of temperature inside a particular region given some temperature data stored in the attached temperature.dat file. Temperature data are stored in a regular grid of dimension 18X18X10. Explored using some common methods for 3D scalar data visualization.

3d-vector-visualization-explore-the-velocity-distribution-in-a-particular-region

Explore vector data such as the velocity distribution of air flow inside a cavity of size 18x18x10. Establish a relationship between the temperature (in other repository) and air flow (velocity) inside the cavity.

aerial-cactus-identification

Group Kaggle project used to train algorithm that performs binary image classification on specific columnar cactus

avalanche_detection_data_mining

Pre-process avalanche data and implement classifiers for probability of occurrence

e-commerce-drone-web-store

Full-stack web application built with JavaScript and ASP .NET while backed by SQL database.

emulate-coin-flip-statistical-data

Let nu_1, nu_min, nu_rand be the fraction of heads for the three selected coins. Let mu be the actual probability of heads. Emulating a coin flip in python with numpy. Repeat the experiment a great number of times (e.g., 100,000 times). collect nu_1, nu_min, nu_rand for each experiment. Plot histograms of nu_1, nu_min, nu_rand to see what the distribution looks like. Plot the hoeffding bound for different values of epsilon.

filesystemwatcher

Utilized .NET framework to create application that watches for changes in specific directories. Implemented user interface that allows client to select specific or existing path where changes are then logged by the File System Watcher class and stored in a local SQL database. Options for extensions available as well as searching for existing directories. You can also clear database or transfer local changes to database.

imdb-dataset-rnn-network

extend the Extend IMDB data set example to create RNN networks to find the polarity of sentiment for movie reviews. Create 2 networks: one using 'SimpleRNN' and the other using 'LSTM'.

implement-linear-and-knn-

Implement Linear and KNN and perform bias/variance analysis using provided data

knn-classifier-java-implementation-

Implement K Nearest Neighbor classifier algorithm from scratch in java. Imports 2 CSV files both training and test data -> parser data into arrays -> builds model -> predictions made/accuracy -> outputs results to CSV file

machine-learning-neural-style-transfer

Using SciPy's L-BFGS algorithm we transfer a style reference onto an imported image.

mesh-networking-application-android-

Develop a social media app for android in android studios using Googles Nearby Connections API with WiFi Direct. App will rely strictly on Bluetooth in order to create networks within range. Users will be able to connect to one another and talk ether on a public feature thread or private message. Back end will focus on maintaining state, building out packets to be sent to routing layer and security of users micro data.

neuroticism

Good SSO; from my neurons to the computer's

one-hot-encoding-of-words-and-characters

Turn token into vector. Using Keras for word-level one-hot encoding and hashing trick.

pavelchernichenko.github.io

predicting-hand-written-digits

Use numpy, keras, and scikit-learn to predict which digit is contained in pictures of hand-written digits. This is a classic benchmark for multi-class learning.

predicting-hand-written-digits-with-convolutional-networks

Use keras to build a Convolutional Neural Network to build a predictor for MNIST

tangible-virtual-object

Create a virtual object tangible with the help of a haptic force feedback device (3D Systems’ Touch haptic device). Then assign physical properties as well as deformation through anchoring proxy point to surface point. Build representation of haptic proxy with different 3D models.

tetris-game-application

Functioning Tetris game application developed using C# through .NET framework

thread-pooling-java

The provided code implements a client and a server on the TCP level using sockets. Project will guarantee the server to have a pool of running threads (threadpool) that have already been created when the server starts up. The threadpool is ready to process the incoming connections whenever they are received over the network. If there is no connection is coming in, all threads in the threadpool will wait and be blocked until connections arrive. After a thread in the threadpool processes a connection request, if there are more requests to process, the thread will grab the next available request in the job queue to process.

two-class-binary-classification-on-movie-reviews-and-newswires

apply classification on both IMDB movie review dataset and newswires. Build model, activation and plotting the training and validation loss and accuracy. generate predictions on new data.

visualization-toolkit-for-human-head

Reads a volume dataset, extracts an isosurface that represents the skin and displays it.