vadimkantorov

# ported from https://github.com/pvigier/perlin-numpy/blob/master/perlin2d.py

import torch
import math

def rand_perlin_2d(shape, res, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
    delta = (res[0] / shape[0], res[1] / shape[1])
    d = (shape[0] // res[0], shape[1] // res[1])
    
    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1])), dim = -1) % 1

HybridDog

// SPDX-License-Identifier: MIT
//
// This program contains an implementation of SSIM-based perceptual image
// downscaling for PNG images.
// The program can be twice as fast when compiled with -Ofast.
// The program behaviour can be adjusted with predefined preprocessor macros:
// * -DTILEABLE: Assume images wrap around at corners. This should be enabled
//   when downscaling tileable textures.
// * -DGAMMA_INCORRECT: Downscale without applying the sRGB EOTF and OETF.
//   When downscaling images with symbolic meaning, e.g. screenshots of text or

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

szagoruyko

function removeDescriptors(net)
  for i,val in pairs(net.modules) do
    if tostring(val):find('cudnn') then
      for name,field in pairs(val) do
        if name:find('Desc') then
          val[name] = nil
        end
      end
      val.algType = nil
      val.iDesc = nil

toshi-k

local LReLU, parent = torch.class('nn.LReLU','nn.Module')
 
function LReLU:__init(a)
	parent.__init(self)
	self.a = a or 0.1
	self.ReLU_p = nn.ReLU()
end

function LReLU:updateOutput(input)
	self.output:resizeAs(input)

koseki

<select>
  <option value="1">Hokkaido</option>
  <option value="2">Aomori</option>
  <option value="3">Iwate</option>
  <option value="4">Miyagi</option>
  <option value="5">Akita</option>
  <option value="6">Yamagata</option>
  <option value="7">Fukushima</option>
  <option value="8">Ibaraki</option>
  <option value="9">Tochigi</option>