spicycode

# 0 is too far from ` ;)
set -g base-index 1

# Automatically set window title
set-window-option -g automatic-rename on
set-option -g set-titles on

#set -g default-terminal screen-256color
set -g status-keys vi
set -g history-limit 10000

mrchief

MIT License

Copyright (c) [year] [fullname]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

jackielii

@echo off
SET st2Path=C:\Program Files\Sublime Text 3\sublime_text.exe
 
rem add it for all file types
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3"         /t REG_SZ /v "" /d "Open with Sublime Text 3"   /f
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3"         /t REG_EXPAND_SZ /v "Icon" /d "%st2Path%,0" /f
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3\command" /t REG_SZ /v "" /d "%st2Path% \"%%1\"" /f
 
rem add it for folders
@reg add "HKEY_CLASSES_ROOT\Folder\shell\Open with Sublime Text 3"         /t REG_SZ /v "" /d "Open with Sublime Text 3"   /f

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

neubig

#!/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

JamoCA

// ==UserScript==
// @name        GoogleNoAds
// @namespace   gist.github.com/JamoCA/99505f3dad38f23d3dcaa73a4eb6d030
// @description Remove inline ads from Google
// @include     https://www.google.com/
// @version     1.1
// @grant       none
// ==/UserScript==
// ==/UserScript==
// @require http://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js

Mallekin

from pyueye import ueye
import numpy as np
import cv2

def main():
    # init camera
    hcam = ueye.HIDS(0)
    ret = ueye.is_InitCamera(hcam, None)
    print(f"initCamera returns {ret}")