Kriztoper Urmeneta's repositories

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

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cmsc123mp03

Code repository for the 3rd Machine Problem for CMSC 123, taken 2nd semester, Academic Year 2015 - 2016 at University of the Philippines Visayas Tacloban College.

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ec

A group project (Machine Problem 1) in CMSC 141: Introduction to Programming Languages class where we are tasked to make a syntax analyzer from the programming language that we designed. The said language is dubbed as EC.

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jupyterexplore

Exploration of montecarlo method for calculation of Pi, svd for compression of images and some visualization in jupyter notebooks

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punch-ball-jump

A networked 2-player game where the players dodge or punch the ball, the player scores a point when the opponent is hit by the ball. It is a race to 5 type of game. The PL used in developing the game is java.

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Automatic-Image-Colorization

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

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Coloring-greyscale-images-in-Keras

Coloring B&W portraits with neural networks.

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colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

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Colorizing-with-GANs

Grayscale Image Colorization with Generative Adversarial Networks (GAN)

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cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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Hangman

Word guessing game

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ImageColorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

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keras-resnet

Residual networks implementation using Keras-1.0 functional API

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open-house

Laravel web app showcasing what computer science students can do and/or develop for the web.

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PlotNeuralNet

Latex code for making neural networks diagrams

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tensorflow

Computation using data flow graphs for scalable machine learning

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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Wide-Residual-Network

Implementation of a Wide Residual Network on Tensorflow for Image Classification. Trained and tested on Cifar10 dataset.

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wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

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Wide-Residual-Networks-1

Wide Residual Networks in Keras

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wrn-tensorflow

A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)

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