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@wrunk
wrunk / jinja2_file_less.py
Last active September 19, 2023 15:05
python jinja2 examples
#!/usr/bin/env/python
#
# More of a reference of using jinaj2 without actual template files.
# This is great for a simple output transformation to standard out.
#
# Of course you will need to "sudo pip install jinja2" first!
#
# I like to refer to the following to remember how to use jinja2 :)
# http://jinja.pocoo.org/docs/templates/
#
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active June 15, 2024 23:32
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@dergachev
dergachev / GIF-Screencast-OSX.md
Last active June 5, 2024 22:16
OS X Screencast to animated GIF

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Screencapture GIF

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

@jfreels
jfreels / README.md
Last active April 18, 2016 15:09
d3js: Dynamic Scatter plot based on Select input.

d3js: Dynamic Scatter plot based on Select input.

@rxaviers
rxaviers / gist:7360908
Last active June 15, 2024 20:43
Complete list of github markdown emoji markup

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@dobsondev
dobsondev / .bash_profile
Last active July 23, 2019 14:42
My personal .bash_profile file on my Mac. It styles my bash prompt in a way I like and also adds some useful alias.
# ~/.bash_profile
[[ -s ~/.bashrc ]] && source ~/.bashrc
export CLICOLOR=1
export LSCOLORS=GxFxCxDxBxegedabagaced
alias subl='/Applications/Sublime\ Text\ 2.app/Contents/SharedSupport/bin/subl'
alias ls='ls -GFh'
alias ll='ls -l'
@wch
wch / DESCRIPTION
Last active January 8, 2023 10:03
actionButton demo for R Shiny
Type: Shiny
Title: actionButton demo
License: MIT
Author: Winston Chang <winston@rstudio.com>
AuthorUrl: http://www.rstudio.com/
Tags: actionbutton
DisplayMode: Showcase
@neubig
neubig / lstm-lm.py
Last active August 23, 2017 09:18
This is a minimal implementation of training for a language model using long short-term memory (LSTM) neural networks
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This is a simplified implementation of the LSTM language model (by Graham Neubig)
#
# LSTM Neural Networks for Language Modeling
# Martin Sundermeyer, Ralf Schlüter, Hermann Ney
# InterSpeech 2012
#
# The structure of the model is extremely simple. At every time step we
@Nemitek
Nemitek / keras_prediction.py
Created October 22, 2015 04:11
Predicting sequences of vectors (regression) in Keras using RNN - LSTM (original by danielhnyk.cz) - fixed for Keras 0.2.0
import pandas as pd
from random import random
flow = (list(range(1,10,1)) + list(range(10,1,-1)))*1000
pdata = pd.DataFrame({"a":flow, "b":flow})
pdata.b = pdata.b.shift(9)
data = pdata.iloc[10:] * random() # some noise
import numpy as np
@AustinRochford
AustinRochford / GP.iypnb
Created September 25, 2016 02:28
Bayesian GP PyMC3
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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
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},
"outputs": [],
"source": [