malcolmgreaves

#!/bin/bash

# Bash function to download a file with wget, showing a progress bar and enables 
# re-downloading if interrupted. Also can automatically determine filename from
# supplied URL or override from command line.
# First argument is URL.
# Second optional argument is filename.
download () {
    local URL="$1"
    local FI="$2"

cbaziotis

class SelfAttention(nn.Module):
    def __init__(self, attention_size, batch_first=False, non_linearity="tanh"):
        super(SelfAttention, self).__init__()

        self.batch_first = batch_first
        self.attention_weights = Parameter(torch.FloatTensor(attention_size))
        self.softmax = nn.Softmax(dim=-1)

        if non_linearity == "relu":
            self.non_linearity = nn.ReLU()

malcolmgreaves

outofcoffee

#!/usr/bin/env bash
# Example:
#    ./find-ecr-image.sh foo/bar mytag

if [[ $# -lt 2 ]]; then
    echo "Usage: $( basename $0 ) <repository-name> <image-tag>"
    exit 1
fi

IMAGE_META="$( aws ecr describe-images --repository-name=$1 --image-ids=imageTag=$2 2> /dev/null )"

malcolmgreaves

case class Scored[T](item: T, value: Double)

trait Val[-A] {
  def valueOf(a: A): Double
}

object Val {
  def apply[T: Val]: Val[T] =
    implicitly[Val[T]]
  

mkolod

santisbon

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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

fchollet

import keras
import numpy as np

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

# Test data.

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