aparrish

mcg1969

machine:
  environment:
    MINICONDA: "$HOME/miniconda"
    MINICONDA_PATH: "$MINICONDA/bin"
    PATH: "$MINICONDA_PATH:$PATH"
    CONDA: "$MINICONDA_PATH/conda"
    ANACONDA: "$MINICONDA_PATH/anaconda"
    # This ensures we don't accidentally pull in ~/.condarc
    # if it happens to be there for some strange reason
    CONDARC: "$MINICONDA/condarc.none"

malcolmgreaves

UNDERSTANDING HASH FUNCTIONS
by Geoff Pike

Version 0.2 --- early draft --- comments and questions welcome!
References appear in square brackets.

1 INTRODUCTION

Hashing has proven tremendously useful in constructing various fast
data structures and algorithms.  It is typically possible to simplify

malcolmgreaves

from functools import partial
from operator import concat
from os.path import isfile

from fold import foldl


def _list_files_from(part, prev):
    current = "%s/%s" % (prev, part)
    if isfile(current):

malcolmgreaves

def foldl(zero, combine, elements):
    if callable(zero):
        result = zero()
    else:
        result = zero
    for x in elements:
        result = combine(result, x)
    return result

def foldr(zero, combine, elements):

eamartin

venik

#!/usr/bin/env bash

# Author: Sasha Nikiforov

# source of inspiration
# https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions

# Detect platform
if [ "$(uname)" == "Darwin" ]; then
	# MacOS

fchollet

import keras
import numpy as np

timesteps = 60
input_dim = 64
samples = 10000
batch_size = 128
output_dim = 64

# Test data.

smitshilu

Tensorflow

System information

• OS - High Sierra 10.13
• Tensorflow - 1.4
• Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
• Cmake - 3.7
• Bazel - 0.7.0

santisbon

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