rav1kantsingh

Google Summer of Code 2020 Final Work Report

• Name: Ravikant Singh
• Organisation: OpenMined
• Project: Implement Fan-Vercauteren Homomorphic Encryption Scheme in PySyft
• Proposal: https://docs.google.com/document/d/14JrXJ9_ddB8Qm-RbnOnA2NL_GxXxKXei56dSJrVumR0/edit?usp=sharing
• Mentor: Ayoub Benaissa

faustomilletari

"""
Eisen EU COVID-19 challenge starter kit

NOTE: you need to register to the challenge, download and unpack the data in
order to be able to run the following example.

Find more info here: https://www.covid19challenge.eu

Information about Eisen can be found at http://eisen.ai -- Join the community on Slack https://bit.ly/2L7i6OL

cferdinandi

// The core app code
var myApp = (function () {

	'use strict';

	// Create a public methods object
	var methods = {};

	/**
	 * Extend the public methods object

KevinAst

Integrating GitBook with JSDoc to Document Your Open Source Project

Introduction

Good documentation should include two distinct elements - a Guide and an API:

1. The Guide builds concepts, providing examples, etc.

GitBook is well suited to

pelson

This is the code documented in https://pelson.github.io/2017/xkcd_font_merge_then_extract_glyphs/.

xaxim

git fetch upstream
git checkout master
git merge upstream/master
git merge upstream/master
git commit
git push

jasonkit

import os.path
import tensorflow as tf
from tensorflow.python.platform import gfile
import matplotlib.pyplot as plt

log_dir = "/tmp/inception_v3_log"

if not os.path.exists(log_dir):
    os.makedirs(log_dir)

punkdata

#!/usr/bin/python
# run the script:  python git-find-big-files.py <the branch> <file size>
# Example use:  python git-find-big-files.py fix-remove-files 1000000 (this value equals 1 Megabyte)
# the Fix-remove-files specifies the branch that you are cleaning

import os, sys

def getOutput(cmd):
    return os.popen(cmd).read()

akiross

#!/usr/bin/env python3

import os
import re
import numpy as np
from ast import literal_eval as make_tuple

from tkinter import *
from tkinter import ttk
from tkinter import filedialog

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman