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swayson / netrw quick reference.md
Created April 25, 2017 10:48 — forked from t-mart/netrw quick reference.md
A quick reference for Vim's built-in netrw file selector.
Map Action
<F1> Causes Netrw to issue help
<cr> Netrw will enter the directory or read the file
<del> Netrw will attempt to remove the file/directory
- Makes Netrw go up one directory
a Toggles between normal display, hiding (suppress display of files matching g:netrw_list_hide) showing (display only files which match g:netrw_list_hide)
c Make browsing directory the current directory
C Setting the editing window
d Make a directory
@swayson
swayson / install.sh
Created March 11, 2017 10:44 — forked from wdullaer/install.sh
Install Latest Docker and Docker-compose on Ubuntu
# Ask for the user password
# Script only works if sudo caches the password for a few minutes
sudo true
# Install kernel extra's to enable docker aufs support
# sudo apt-get -y install linux-image-extra-$(uname -r)
# Add Docker PPA and install latest version
# sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D7869245C8950F966E92D8576A8BA88D21E9
# sudo sh -c "echo deb https://get.docker.io/ubuntu docker main > /etc/apt/sources.list.d/docker.list"
@swayson
swayson / jupyter_notebook_ec2.sh
Created February 19, 2016 16:52 — forked from rashmibanthia/jupyter_notebook_ec2.sh
#!/usr/bin/env bash
#Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5)
cd ~
#wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh
wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh
bash Anaconda3-2.4.1-Linux-x86_64.sh -b
echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc
. .bashrc
@swayson
swayson / readme.md
Created February 17, 2016 11:23 — 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

@swayson
swayson / readme.md
Created January 16, 2016 13:12 — 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

@swayson
swayson / kernel_kmeans.py
Last active August 29, 2015 14:14 — forked from mblondel/kernel_kmeans.py
"""Kernel K-means"""
# Author: Mathieu Blondel <mathieu@mblondel.org>
# License: BSD 3 clause
import numpy as np
from sklearn.base import BaseEstimator, ClusterMixin
from sklearn.metrics.pairwise import pairwise_kernels
from sklearn.utils import check_random_state
@swayson
swayson / lsa_hack.r
Created February 26, 2014 06:56 — forked from rpietro/lsa_hack.r
Analyze Text Similarity with R: Latent Semantic Analysis and Multidimentional Scaling
# script stolen from http://goo.gl/YbQyAQ
# install.packages("tm")
# install.packages("ggplot2")
# install.packages("lsa")
# install.packages("scatterplot3d")
#install.packages("SnowballC")
#if !(require('SnowballC')) then install.packages("SnowballC")
library(tm)
library(ggplot2)