hasithsura

def spec_to_image(spec, eps=1e-6):
  mean = spec.mean()
  std = spec.std()
  spec_norm = (spec - mean) / (std + eps)
  spec_min, spec_max = spec_norm.min(), spec_norm.max()
  spec_scaled = 255 * (spec_norm - spec_min) / (spec_max - spec_min)
  spec_scaled = spec_scaled.astype(np.uint8)
  return spec_scaled

dolaameng

import torch
import torch.nn as nn
from torch.autograd import Variable

batch_size = 3
max_length = 3
hidden_size = 2
n_layers =1

# container

sedouard

import urllib
import time
import hmac
import hashlib
import base64
def _sign_string(uri, key, key_name):

    '''
    100000 = milsecond expiry
    '''