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

Image creation through Generative Adversarial Network

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.

Python script to list hdf5 and mat file keys

Saving Reading Grouping Data in HDF5

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

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

This Python project, developed using Python 3, PyQt5, h5py, numpy, scipy, and pyqtgraph, implements a GUI application that displays a table and a graph. The project demonstrates handling data stored in a 2D numpy array and offers functionality for editing, saving, and visualizing data interactively.

• 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

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

Minimalist tree-like overview of .h5 file structure

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