Nate George nateGeorge

Install EVERYTHING you can with conda
Install things you can with:
- install.packages(, lib="")
- install.github(, lib="")
- biocLite(, lib="")
Make separate local libs for different R versions
After installing a package to a local lib, look there and see if there are dependencies you could have installed with conda.
Or, head it off by looking at the dependencies in CRAN or Bioconductor

##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

	const puppeteer = require('puppeteer');
	const read = require('read');
	const htmlToText = require('html-to-text').fromString;
	const R = require('ramda');
	const Promise = require('bluebird');
	const fs = require('fs');
	const download = require('@jinphen/download2');
	const { CookieJar } = require('tough-cookie');

	const mapSeries = R.flip(Promise.mapSeries);

	###############################################################################
	#
	# cor2
	# -- Compute correlations of columns of a dataframe of mixed types
	#
	###############################################################################
	#
	# author : Srikanth KS (talegari)
	# license : GNU AGPLv3 (http://choosealicense.com/licenses/agpl-3.0/)
	#

	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda

	# This is shorthened version of blog post
	# http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

	# update packages
	sudo apt-get update
	sudo apt-get upgrade

	#Add the ppa repo for NVIDIA graphics driver
	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt-get update

	import argparse
	import datetime
	import json
	import os
	import re

	import requests


	parser = argparse.ArgumentParser()

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	please ignore this page and visit below:

	https://github.com/binary1230/wellsfargo-bulk-PDF-statement-downloader/blob/main/README.md

	'''
	hacked out deepdish.io style keras NN saving functionality

	[credit] deepdish
	'''
	from __future__ import division, print_function, absolute_import

	import numpy as np
	import tables
	import warnings