Francesca Lucchini
FranLucchini
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Representation learning on large graphs using stochastic graph convolutions.
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
Python code for the DECODE method and mxnet code for Fractal ResUNet
Check how to use Seldon Core with Jenkins X
Repositories
30No description provided.
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
Python code for the DECODE method and mxnet code for Fractal ResUNet
No description provided.
Check how to use Seldon Core with Jenkins X
Curso de Visión por Computador
Testing deployment using Heroku
Code for the ECCV 2016 paper "Deep Learning the City: Quantifying Urban Perception At A Global Scale"
No description provided.
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En formato estándar
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Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Build Graph Nets in Tensorflow
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
checks integrity of test data in programming contests like the ACM ICPC
Representation learning on large graphs using stochastic graph convolutions.
Graph Convolutional Networks in PyTorch
Implementación de R-Net en Python 3.6 con Keras 2.0.6
Toolbox Balu
Create a PDF invoice for Spree orders.
No description provided.
Utility classes for reasonably fast I/O
Kattis online judge command line tool
Tools to manage problem packages using the Kattis problem package format.
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[IIC2613] Tarea 2
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