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RanaivosonHerimanitra / readme.md
Created April 7, 2017 05:46 — forked from baraldilorenzo/readme.md
VGG-19 pre-trained model for Keras

##VGG19 model for Keras

This is the Keras model of the 19-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

@RanaivosonHerimanitra
RanaivosonHerimanitra / readme.md
Created April 6, 2017 03:50 — forked from baraldilorenzo/readme.md
VGG-16 pre-trained model for Keras

##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

@RanaivosonHerimanitra
RanaivosonHerimanitra / github-mining.sql
Created January 21, 2017 14:46 — forked from thomasdarimont/github-mining.sql
Sample query for github dataset in big-query
SELECT
cont.sample_repo_name,
repo.watch_count
FROM
[bigquery-public-data:github_repos.sample_contents] as cont
JOIN [bigquery-public-data:github_repos.sample_repos] as repo
ON cont.sample_repo_name = repo.repo_name
WHERE
cont.content CONTAINS 'findbugs-maven-plugin</artifactId>'
AND cont.sample_path LIKE 'pom.xml'
library(shiny)
library(spdep)
library(leaflet)
library(RColorBrewer)
atx <- readRDS('travis.rds')
atx$id <- 1:nrow(atx)
atx2 <- atx[!is.na(atx$income), ]
import pandas
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
from rpy2.robjects.lib import grid
from rpy2.robjects.lib import ggplot2
## read in the distances to railroad (we calculated)
neardist = pandas.read_csv('data/NearDistance.csv')
## convert to R dataframe, via Python Dictionary data type