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OpenPOWER Developer Challenge

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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.

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artNet Genre Classifier
artNet Genre Classifier

Classify between landscape, portrait and other genres of paintings with high accuracy using deep learning

Winner Winner
Praveen Sridhar Pranav Sridhar
1 1
Scaling up and out a bioinformatics algorithm
Scaling up and out a bioinformatics algorithm

This project explores methods to scale up and scale out a bioinformatics application using GPU, FPGA/CAPI and Spark.

Winner Winner
Johan Peltenburg Shanshan Ren Tudor Zaid Alars + 1
7 0
DistributedTensorFlow4CancerDetection
DistributedTensorFlow4CancerDetection

Leverage Distributed TensorFlow for solving problems in Cancer detection

Winner Winner
Andrey Yurkevich Alexander Kalinovsky Ksenia Ramaniuk Pavel Orda
0 0
EmergencyPredictionOnSpark
EmergencyPredictionOnSpark

Use Spark to train a deep learning model to predicts volume of 911 emergency calls.

Winner Winner
Antonio Carlos Furtado
2 0
Medical Ultrasound Imaging Acceleration Based on CAPI
Medical Ultrasound Imaging Acceleration Based on CAPI

A CAPI Implementation of Parallel Delay-and-Sum algorithm on SuperVessel Platform

Winner Winner
Shunfeng Zhou Jinhui Chen Junying Chen
9 1
OpenRBC
OpenRBC

A lipid-resolution molecular dynamics simulator for human red blood cells

Winner Winner
Yu-Hang Tang Lu Lu He Li
0 0
Neural Painting Torch
Neural Painting Torch

Using Deep learning and Torch+Lua framework to perform the painting of two or more images

Balaji  N
0 0

1 – 7 of 7

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