RobinJadoul

HEPL

This is a simple repl integration for the helix editor. It relies on on tmux to show the repl in a separate pane and on jupyter (jupyter-console and whatever jupyter kernels you might like) to run the actual repl.

Features

• Works with any jupyter kernel
• Code is dedented to the highest common level, so you can send python code from the middle of a function to the repl too
• No issues with multiline pieces of code or blank lines inside of a function body, it works as you'd expect it to

tholden

function [ B, C, D ] = NearestKroneckerProduct( A, SizeB, SizeC, Hermitian ) %#codegen
    % https://doi.org/10.1007/978-94-015-8196-7_17
    m = size( A, 1 );
    n = size( A, 2 );
    m1 = SizeB( 1 );
    n1 = SizeB( 2 );
    m2 = SizeC( 1 );
    n2 = SizeC( 2 );
    
    if nargin < 4

vihari

"""
The default tf.Print op goes to STDERR
Use the function below to direct the output to stdout instead
Usage: 
> x=tf.ones([1, 2])
> y=tf.zeros([1, 3])
> p = x*x
> p = tf_print(p, [x, y], "hello")
> p.eval()
hello [[ 0.  0.]]

taylorpaul

Environment:

Tensorflow: v0.11.0rc2 OS: CENTOS 6.8 (No root access)

Description:

1. The tensorboardSLURM.sh can be run with the following command to start a tensorboard server on a SLURM cluster:

sbatch --array=0-0 tensorboardSLURM.sh 

shirriff

/*
 * Demonstration of the BeagleBone's PRU, using a timer.
 * Ken Shirriff, http://righto.com
 */
#include <stdint.h>

#define DELAY_NS 100 // Use 500000000 for 0.5 second delay
#define WRITE_PIN 15 /* P8_11, Ethernet output data, pr1_PRU0_pru_r30_15 */

// PRU Interrupt control registers

inre

#![feature(core_intrinsics)]
#[warn(dead_code)]
//#[warn(unused_assignments)]

extern crate mmap;
extern crate libc;
use libc::*;
use std::ffi::CString;
use std::path::Path;
use mmap::{MemoryMap,MapOption};