Flavio58it - Overview

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1. This app is made for detecting automatically weld defect from x-ray images both DICOM and JPG by deploying a custom deep pre-trained model YOLOv3 for local images

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4. Forked from Er1cZ/Deploying_CNN_on_FPGA_using_OpenCL

   Squeezenet V1.1 on Cyclone V SoC-FPGA at 450ms/image, 20x faster than ARM A9 processor alone. A project for 2017 Innovate FPGA design contest.

   Objective-C 1

6. Forked from faisalnazir/eth-price-prediction

   Predicting Ethereum price changes. Results of an LSTM (Long Short Term Memory) and an SVM (Support Vector Machine) are being compared.

   Jupyter Notebook 1