dansuh17

import subprocess
import os

def convert_gtzan_to_mp3(gtzan_folder_path, output_folder_name):
    # recursively walk through the directory
    for dirpath, dirnames, filenames in os.walk(gtzan_folder_path):
        for filename in filenames:
            input_filepath = os.path.join(dirpath, filename)
            output_folderpath = dirpath.replace(gtzan_folder_path, output_folder_name)

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sox input.wav -r 16k output.wav

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# from : http://pytorch.org/docs/master/notes/autograd.html
# pretrained models here : https://github.com/pytorch/vision/tree/master/torchvision/models
model = torchvision.models.resnet18(pretrained=True)
for param in model.parameters():
    param.requires_grad = False
# Replace the last fully-connected layer
# Parameters of newly constructed modules have requires_grad=True by default
model.fc = nn.Linear(512, 100)

# Optimize only the classifier

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root = 'imagenet'
traindir = 'train'
image_dataset = ImageFolder(
    traindir,
    transform=transforms.Compose([
        transforms.RandomResizedCrop(224),
        transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize(mean=[0.485, 0.456, 0.406],
                             std=[0.229, 0.224, 0.225]),

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var allPerms = [];

function permutation(list, ret)
{
  if (list.length == 0) {
    allPerms.push(ret);  // return the result
    return;
  }
  
  for (var i = 0; i < list.length; i++) {

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function poj() {
  g++-6 -Wall -std=c++98 -pedantic-errors $1;
  cat input.txt | ./a.out
}

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#!/bin/bash

# source: http://www.haskell.org/pipermail/haskell-cafe/2011-March/090170.html

sudo rm -rf /Library/Frameworks/GHC.framework
sudo rm -rf /Library/Frameworks/HaskellPlatform.framework
sudo rm -rf /Library/Haskell
rm -rf .cabal
rm -rf .ghc
rm -rf ~/Library/Haskell

dansuh17

#!/bin/bash

# source: http://www.haskell.org/pipermail/haskell-cafe/2011-March/090170.html

sudo rm -rf /Library/Frameworks/GHC.framework
sudo rm -rf /Library/Frameworks/HaskellPlatform.framework
sudo rm -rf /Library/Haskell
rm -rf .cabal
rm -rf .ghc
rm -rf ~/Library/Haskell

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curl -F ‘data=@path/to/file.txt’ https://localhost/upload/

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curl --http2 -k -v https://localhost/get/