mratsim

import gzip
import json
import requests
try:
    from cStringIO import StringIO
except:
    from StringIO import StringIO

# Let's fetch the Common Crawl FAQ using the CC index
resp = requests.get('http://index.commoncrawl.org/CC-MAIN-2015-27-index?url=http%3A%2F%2Fcommoncrawl.org%2Ffaqs%2F&output=json')

mratsim

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

mratsim

#!/usr/bin/env bash

# Colours picked from https://robinpowered.com/blog/best-practice-system-for-organizing-and-tagging-github-issues/

###
# Label definitions
###
declare -A LABELS

# Platform

mratsim

The clock cycle count for "expf()" (reference) is 141645.

The clock cycle count for "expapprox()" is 74.

The clock cycle count for "expapprox4()" is 127 (/4 = 31).

// GCC
#define RESTRICT __restrict__

// Disable range check makes faster evaluation of exp().

mratsim

#!/bin/bash

# IMPORTANT: You will need to disable SIP aka Rootless in order to fully execute this script, you can reenable it after.
# WARNING: It might disable things that you may not like. Please double check the services in the TODISABLE vars.

# Get active services: launchctl list | grep -v "\-\t0"
# Find a service: grep -lR [service] /System/Library/Launch* /Library/Launch* ~/Library/LaunchAgents

# Agents to disable
TODISABLE=('com.apple.security.keychainsyncingoveridsproxy' 'com.apple.personad' 'com.apple.passd' 'com.apple.screensharing.MessagesAgent' 'com.apple.CommCenter-osx' 'com.apple.Maps.mapspushd' 'com.apple.Maps.pushdaemon' 'com.apple.photoanalysisd' 'com.apple.telephonyutilities.callservicesd' 'com.apple.AirPlayUIAgent' 'com.apple.AirPortBaseStationAgent' 'com.apple.CalendarAgent' 'com.apple.DictationIM' 'com.apple.iCloudUserNotifications' 'com.apple.familycircled' 'com.apple.familycontrols.useragent' 'com.apple.familynotificationd' 'com.apple.gamed' 'com.apple.icloud.findmydeviced.findmydevi

mratsim

//
//  UInt256.swift
//  Raiblocks
//
//  Created by Zack Shapiro on 12/4/17.
//  Copyright © 2017 Zack Shapiro. All rights reserved.
//


// MARK: Error Type

mratsim

// author: prime (prime@kmc.gr.jp)
// License: MIT License
#include <iostream>
#include <vector>
#include <bitset>
#include <x86intrin.h>
#include <boost/timer/timer.hpp>

inline __m256i bsr_256_8_naive(__m256i x);
inline __m256i bsr_256_8_cvtfloat(__m256i x);

mratsim

A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.

Overview

• Differentiation

Differentiation

Symbolic: Theano, CGT; Automatic: Torch, MXNet

Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.

mratsim

# -*- coding: utf-8 -*-
"""
Backprop as the method of Lagrange multiplers (and even the implicit function
theorem).
"""
from __future__ import division
import numpy as np
from arsenal.alphabet import Alphabet
from arsenal.math.checkgrad import finite_difference

mratsim

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)