masterdezign’s gists

masterdezign / cuda_11.2_installation_on_Ubuntu_20.04

Created February 16, 2022 10:32 — forked from Mahedi-61/cuda_11.8_installation_on_Ubuntu_22.04

Instructions for CUDA v11.2 and cuDNN 8.1 installation on Ubuntu 20.04 for Pytorch 1.8 & Tensorflow 2.7.0

	#!/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 / xor_keras.py

Created August 31, 2016 10:25 — forked from cburgdorf/xor_keras.py

Comparing XOR between tensorflow and keras

	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 / min-char-rnn.py

Created February 17, 2016 17:28 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	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 / CrazyIO.hs

Created December 19, 2015 13:27 — forked from nkpart/CrazyIO.hs

CrazyIO - binary deserialization using mmaped I/O and Data.Vector.Storable

	{-# 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 / dct.hs

Created December 5, 2015 18:27 — forked from vi/dct.hs

Simple command-line Discrete Cosine Transform in Haskell

	-- "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 / install-ghc.md

Created December 5, 2015 14:36 — forked from yantonov/install-ghc-ubuntu.md

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

GHC_VERSION="7.10.2"

ARCHITECTURE="x86_64"