Discover mkeid/Texture-Synthesis Open Source project by mo (@mkeid)

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39
Rank 689,681 (Top 14 %)
Language
Python
License
MIT License
Created over 7 years ago
Updated about 7 years ago

mkeid

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TensorFlow implementation of Texture-Synthesis Using Convolutional Neural Networks. High-level statistical structures of an image are used to new images with similar characteristics.

Feed-Forward-Style-Transfer

TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.

Python

Style-Transfer-Algorithm

TensorFlow implementation of "A Neural Algorithm of Artistic Style" using total variation denoising as a regularizer. Apply artistic style to an image given some artwork as a source.

Python

Neural-Network-For-Digit-Prediction

Feed-forward neural network built from scratch trained to discriminate between hand-written digits. 28x28 pixel image samples from the MNIST dataset are used.

Java

mkeid/Texture-Synthesis

mkeid

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