badjano

import math
from moviepy.editor import concatenate, ImageClip
import os
import platform
import subprocess
import random
import torch
# pip install pytorch-pretrained-biggan
from pytorch_pretrained_biggan import (BigGAN, truncated_noise_sample, convert_to_images)
import numpy as np

htoyryla

--[[
Neural-mirage 5
by @htoyryla 3/2016, 3/2017

based on neural-style by @jcjohnson

for more info see 
http://liipetti.net/erratic/2016/03/31/i-have-seen-a-neural-mirage/
http://liipetti.net/erratic/2016/04/20/getting-the-space-back/

szagoruyko

Export ResNet-34

Trained by facebook using https://github.com/facebook/fb.resnet.torch

The model was converted to nn backend and BatchNorm folded into convolutional layers with this script https://github.com/szagoruyko/imagine-nn/blob/utils/utils.lua

gradWeight and gradBias were removed from convolutional layers.

farrajota

-- Available torch7 pre-trained models for download 

Alexnet (trained by me) 
cudnn: https://ln.sync.com/dl/3d9c28e80#cvjp4mjs-mc2y8jrt-9wq5yebx-yrdchcei
mean = {0.48037518790839, 0.45039056120456, 0.39922636057037}
std =  {0.27660147027775, 0.26883440068399, 0.28014687231841}
img size: 3x224x224

overfeat: https://github.com/jhjin/overfeat-torch
mean = {118.380948, 118.380948, 118.380948}

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname