justiceamoh

#include "FLAC/stream_encoder.h"

#define CHUNKSIZE 512

FLAC__StreamEncoderWriteStatus callback
    (const FLAC__StreamEncoder *encoder
    ,const FLAC__byte buffer[]
    ,size_t bytes
    ,unsigned samples
    ,unsigned current_frame

justiceamoh

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

justiceamoh

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

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"""
Clean and simple Keras implementation of network architectures described in:
    - (ResNet-50) [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385.pdf).
    - (ResNeXt-50 32x4d) [Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/pdf/1611.05431.pdf).
    
Python 3.
"""

def residual_network(x):

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def fleiss_kappa(ratings, n, k):
    '''
    Computes the Fleiss' kappa measure for assessing the reliability of 
    agreement between a fixed number n of raters when assigning categorical
    ratings to a number of items.
    
    Args:
        ratings: a list of (item, category)-ratings
        n: number of raters
        k: number of categories

justiceamoh

Install Nvidia GPU driver

Enter the followings:

$ sudo add-apt-repository ppa:graphics-drivers/ppa
$ sudo apt update

In Software & Updates, choose Additional Driver tab and select Nvidia driver.

ref: http://tipsonubuntu.com/2016/08/24/nvidia-367-44-support-titan-x-pascal-gtx-1060/

justiceamoh

from keras.layers.core import Layer  
from keras import initializations, regularizers, constraints  
from keras import backend as K

class Attention(Layer):
    def __init__(self,
                 W_regularizer=None, b_regularizer=None,
                 W_constraint=None, b_constraint=None,
                 bias=True, **kwargs):
        """

justiceamoh

import pyaudio
import librosa
import numpy as np
import requests

# ring buffer will keep the last 2 seconds worth of audio
ringBuffer = RingBuffer(2 * 22050)

def callback(in_data, frame_count, time_info, flag):
    audio_data = np.fromstring(in_data, dtype=np.float32)

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"""
PyAudio Example: Make a wire between input and output (i.e., record a
few samples and play them back immediately).

This is the callback (non-blocking) version.
"""

import pyaudio
import time

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[
  // Remapping of *some* SublimeREPL shortcuts
  { "keys": ["ctrl+super+s"], "command": "repl_transfer_current", "args": {"scope": "selection"}},
  { "keys": ["ctrl+shift+,", "s"], "command": "repl_transfer_current", "args": {"scope": "selection", "action":"view_write"}},
  { "keys": ["ctrl+shift+super+f"], "command": "repl_transfer_current", "args": {"scope": "file"}},
  { "keys": ["shift+ctrl+,", "f"], "command": "repl_transfer_current", "args": {"scope": "file", "action":"view_write"}},
  { "keys": ["ctrl+super+l"], "command": "repl_transfer_current", "args": {"scope": "lines"}},
  { "keys": ["shift+ctrl+,", "l"], "command": "repl_transfer_current", "args": {"scope": "lines", "action":"view_write"}},
  { "keys": ["ctrl+super+b"], "command": "repl_transfer_current", "args": {"scope": "block"}},
  { "keys": ["shift+ctrl+,", "b"], "command": "repl_transfer_current", "args": {"scope": "block", "action":"view_write"}}