lolz0r

class ConvSeluSVD(nn.Module):
	
	def __init__(self, inputSize, outputSize, stride=1, maxpool=False, ownBasis=False):
		super(ConvSeluSVD, self).__init__()

		self.inputSize = inputSize
		self.outputSize = outputSize
		self.stride = stride
		self.params = Parameter( torch.Tensor(outputSize * inputSize, 1,3).normal_(0, .02))

johnhw

### JHW 2018
import numpy as np
import umap



# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module
    
import random

mauricesvay

• CC0 Textures
• 3D Textures
• CG Bookcase
• Texture Haven
• Free PBR
• Poliigon free section (Non-commercial use)
• 30 Free PBR materials by Artem Lebedev
• Free 5K textures by Miloš Belanec

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

mshkrebtan

Run Cisco Webex on 64-bit Ubuntu 16.04

With Audio and Screen Sharing Enabled

Enable support for 32-bit executables

Add the i386 architecture to the list of dpkg architectures :

sudo dpkg --add-architecture i386

christopher-beckham

from lasagne.nonlinearities import *
from lasagne.layers import Layer

class SpatialSoftmaxLayer(Layer):
    """
    Softmax layer that computes the softmax over pixels in the same location,
    i.e., over the channel axis. This layer will automatically use the CuDNN
    version of this softmax if it is available.
    
    Parameters

ericjang

def sample_gumbel(shape, eps=1e-20): 
  """Sample from Gumbel(0, 1)"""
  U = tf.random_uniform(shape,minval=0,maxval=1)
  return -tf.log(-tf.log(U + eps) + eps)

def gumbel_softmax_sample(logits, temperature): 
  """ Draw a sample from the Gumbel-Softmax distribution"""
  y = logits + sample_gumbel(tf.shape(logits))
  return tf.nn.softmax( y / temperature)

josyb

There is a web-page where Adam Taylor lists 10 alternative FPGA development languages: http://www.eetimes.com/document.asp?doc_id=1329857 On some languages the OO-word was used ... I commented that the only thing I have seen so far from these languages is that they are (truly) class based but that I haven't seen any real example. Yet, as I did not study them to their deepest extent, having not enough time and too much other work ...

I already use class-based design for my MyHDL work, see my gist https://gist.github.com/josyb/afd84c9a06fdec77f2fd, but this is not OO as none of these classes have been subclassed.

In stead of doing some real work today (Sat Oct 22nd 2016), I decided to give OO in MyHDL a try. You can see the results in the two next files.

josyb

'''
Created on 29 Dec 2015

@author: Josy
'''
from __future__ import print_function

import random

import myhdl

hasherezade

%{
#include "brainfuck.tab.h"
#include <string.h>
#include <stdlib.h>

void error()
{
  fprintf(stdout, "Plik niepoprawny pod wzglêdem leksykalnym. Linia: %d\n", yylineno);
  exit(1);
}