An easy to use C++ interface to HDF5 library, implemented in templates

ML-training

Abstraction layer on top of h5py for storing time-indexed Pandas data (Series, DataFrame). Focus is fast retrieval of range and index queries but should also support flexible modification of data.

Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.

Jupyer notebook and snippets for the PyData Munich HDF5 tutorial

A simple hdf5-exdir converter

Image creation through Generative Adversarial Network

Used Convolutional Deep Neural nets to extract features from the image

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

Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.

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

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

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

Training and running SDC in simulator env

Classifying Three Types of Brain Tumor

Create a compact HDF5 image dataset without resizing and decoding to numpy arrays

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

Generic Python virtual object layer (VOL) library for HDF5