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Ghanshyam's Projects

artify icon artify

:art: Keras implementation of Neural Style Transfer for coloring paintings and creating art with playground

ce_paper icon ce_paper

Machine Learning effect on Customer Engagement

cocoa icon cocoa

Framework for learning dialogue agents in a two-player game setting.

convnet-vis icon convnet-vis

ConvNet-Vis helps to visualize the Deep Convolutional Neural Networks with following methods.

convnet-zoo icon convnet-zoo

:video_game: PlayGround for Convolutional Neural Networks + Layerwise Activation Map

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

neural-style-transfer icon neural-style-transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

quickcnn icon quickcnn

QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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