mirfan899

<?php

namespace App\BotMan\Middleware;

use Mpociot\BotMan\Message;
use Mpociot\BotMan\Http\Curl;
use Mpociot\BotMan\Interfaces\HttpInterface;
use Mpociot\BotMan\Interfaces\DriverInterface;
use Mpociot\BotMan\Interfaces\MiddlewareInterface;

mirfan899

wget --no-check-certificate --content-disposition https://github.com/joyent/node/tarball/v0.7.1
# --no-check-cerftificate was necessary for me to have wget not puke about https
curl -LJO https://github.com/joyent/node/tarball/v0.7.1

mirfan899

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

mirfan899

apt-get update && apt-get install -y \
      sox \
      curl \
      libicu-dev \
      g++ \
      git \
      python \
      python-dev \
      python-setuptools \

mirfan899

#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

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

mirfan899

# Keras==1.0.6
import numpy as np
from keras.models import Sequential
from keras.layers.recurrent import LSTM
from keras.layers.core import TimeDistributedDense, Activation
from keras.preprocessing.sequence import pad_sequences
from keras.layers.embeddings import Embedding
from sklearn.cross_validation import train_test_split
from sklearn.metrics import confusion_matrix, accuracy_score, precision_recall_fscore_support

mirfan899

import pyaudio
import wave
 
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
CHUNK = 1024
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "file.wav"
 

mirfan899

#!/usr/bin/env python

import pyaudio
import socket
import sys

FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 4096