masterdezign

-- "cabal install vector-fftw split"

import qualified Numeric.FFT.Vector.Unnormalized as FFT
import Data.Vector (fromList, toList)
import Data.List.Split (splitOneOf)
import Data.List (intersperse)
import Control.Monad (forever)
import Control.Arrow ((>>>))

main = forever $

masterdezign

{-# LANGUAGE ScopedTypeVariables #-}
module CrazyIO (module CrazyIO, mmapFileByteString) where

import qualified Data.Vector.Storable      as V
import qualified Data.ByteString as BS
import qualified Data.ByteString.Internal as BS
import           Foreign
import           System.IO.MMap

crazyLoad :: forall a. Storable a => FilePath -> Maybe (Int64, Int) -> IO (V.Vector a)

masterdezign

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

masterdezign

import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense
from keras.optimizers import SGD

X = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
y = np.array([[0],[1],[1],[0]], "float32")

model = Sequential()
model.add(Dense(2, input_dim=2, activation='sigmoid'))

masterdezign

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

masterdezign

How to install latest GHC 7.10.2 from source + stack 0.1.6.0 + cabal 1.22.4.0 + cabal-install 1.22.6.0 on ubuntu

for your convinience these instuction is available as:
gist
git repo

settings

GHC_VERSION="7.10.2"  

ARCHITECTURE="x86_64"