jenzopr’s gists

alexandari / basset_sfc_setup.py

Created June 5, 2017 18:33

SFC Layers Example: Basset Model with SFC Layer Setup

	#install keras from https://github.com/kundajelab/keras/tree/keras_1
	from __future__ import print_function
	import keras
	import numpy as np
	np.random.seed(1)

	#build a model
	model = keras.models.Sequential()
	model.add(keras.layers.convolutional.Convolution1D(input_shape=(1000,4),
	nb_filter=300,

jgilfillan / cumsum_with_reset.R

Created February 3, 2017 12:44

Cumulative sum in R with reset after reaching threshold

	testvector <- c(.5, .1, .2, .9, .9, .2, .5)

	# group rows based on cumsum with reset
	cumsum_group <- function(x, threshold) {
	cumsum <- 0
	group <- 1
	result <- numeric()

	for (i in 1:length(x)) {
	cumsum <- cumsum + x[i]

AvantiShri / revcomp_weightsharing_setup.py

Last active June 1, 2018 15:05

Reverse-complement Weight Sharing Model Setup

	#install keras from https://github.com/kundajelab/keras/tree/keras_1
	from __future__ import print_function
	import keras
	import numpy as np
	np.random.seed(1)

	#build a sample model
	model = keras.models.Sequential()
	model.add(keras.layers.convolutional.RevCompConv1D(input_shape=(100,4),
	nb_filter=10,

whophil / jupyter.service

Last active October 8, 2024 00:42 — forked from doowon/jupyter_systemd

A systemd script for running a Jupyter notebook server.

	# After Ubuntu 16.04, Systemd becomes the default.
	# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

	[Unit]
	Description=Jupyter Notebook

	[Service]
	Type=simple
	PIDFile=/run/jupyter.pid
	ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py

erichgess / Cassandra Schemas

Last active June 1, 2018 13:31

Planet Cassandra Spark Blog

	create KEYSPACE spark_demo WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '1'};
	create table spark_demo.raw_files (filename text,line int, contents text, PRIMARY KEY(filename,line));
	create table spark_demo.users (id int PRIMARY KEY );
	create table spark_demo.movies (id int PRIMARY KEY, name text, year int);
	create table spark_demo.ratings (id int PRIMARY KEY, user_id int, movie_id int, rating float );

slowkow / mygene.html

Last active August 29, 2015 14:07

Autocomplete genes with mygene.info and typeahead.js http://slowkow.com/2014/10/05/geneinfo-typeahead/

	<!DOCTYPE HTML>
	<html>

	<head>

	<meta http-equiv="Content-Type" content="text/html; charset=utf-8">

	<script src="//ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
	<script type="text/javascript" src="js/typeahead.bundle.min.js"></script>

dorentus / 95-lolcat

Last active February 15, 2022 12:21

dynamically generated /etc/motd using fortune, cowsay & lolcat,save it as /etc/update-motd.d/95-lolcat.Google `pam_motd` or `update-motd` for more details of dynamically generated message-of-the-day.

	#!/bin/bash
	# see: http://blog.tomtung.com/2009/11/cowsay-fortune
	# http://www.commandlinefu.com/commands/view/3584/remove-color-codes-special-characters-with-sed
	# https://github.com/busyloop/lolcat
	# https://github.com/dorentus/mruby-lolcat-bin
	#
	# requires `fortune`, `cowsay`,
	# and ruby gem `lolcat` or its mruby version equivalent

	export LANG="en_US.UTF-8"

ramhiser / gist:1421185

Created December 2, 2011 01:15

Randomly subsample a matrix or data frame (Useful with the 'boot' package in R)

	#' Randomly subsample a matrix or data frame.
	#'
	#' To randomly subsample, we are using the parametric option in the boot function
	#' within the boot package. The 'parametric' option requires the specification of
	#' a 'ran.gen' function to generate observations based on the original data and a list of
	#' maximum likelihood estimators (MLE). We utilize this method, but instead of the
	#' MLE, we instead pass the subsample_size.
	#'
	#' As noted in the boot documentation: Use of sim = "parametric" with a suitable ran.gen
	#' allows the user to implement any types of nonparametric resampling which are not

Dr. Jens Preußner jenzopr