Visualization VGG16 models for CIFAR-10 and CIFAR-100 using Keras

Repository for data processing and data visualization for VTSIL(Virginia Tech Smart Infrastructure Lab) data.

Generates a list that contains all beacons at certain timestamps with their corresponding support vector. The input is expected to be a big JSON file. Intermediate results are stored in a HDF5 file and the end result is stored in a JSON file.

This is a simple Flask app that uses a convolutional neural network(CNN) model to classify images as either a dog or a cat.

Image creation through Generative Adversarial Network

Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. First Version : Terminal.

Saving Reading Grouping Data in HDF5

Dataframes from HDF5 instantaneously

Python script to list hdf5 and mat file keys

load V7.3 or above mat files in python.

predict an image from the dataset that we have prepared and saved in model.h5 format so that it is ready to be used for your needs

• Created a Facial Recognition based Attendance Application. Added extra features like emotions detection, age and gender prediction. • Created a GUI based attendance system which tracks and stores attendance in an attendance sheet. The attendance was registered in the excel sheet with check-in and check-out timings. The Link to demo Video:

save load model

Minimalist tree-like overview of .h5 file structure

Research project analyzing the impact of audio features on Spotify podcast performance.

A Neural Network built on Keras using Sequential Model to predict whether a person has Diabetic Retinopathy or not.

Deep Learning for Beginners using Keras | DL tutorials using Keras

A toolbox to quick store and read huge amount of data using HDF5 and Pandas