samithaj

"""
We implement additional hyperparameter optimization methods not present in
https://scikit-optimize.github.io/.

Gist: https://gist.github.com/Deepblue129/2c5fae9daf0529ed589018c6353c9f7b
"""

import math
import logging
import random

samithaj

# Code for Jupyter/IPython Notebook environment

from keras.models import Sequential  
from keras.layers.core import TimeDistributedDense, Activation, Dropout  
from keras.layers.recurrent import GRU
import numpy as np
from keras.utils.layer_utils import print_layer_shapes

%matplotlib inline
import matplotlib.pyplot as plt

samithaj

from pydoc import locate
import tensorflow as tf
import numpy as np
from seq2seq import tasks, models
from seq2seq.training import utils as training_utils
from seq2seq.tasks.inference_task import InferenceTask, unbatch_dict


class DecodeOnce(InferenceTask):
  '''

samithaj

import logging

import numpy as np
import tensorflow as tf
from tensorflow.contrib import layers


GO_TOKEN = 0
END_TOKEN = 1
UNK_TOKEN = 2

samithaj

TensorFlow Serving in 10 minutes!

TensorFlow SERVING is Googles' recommended way to deploy TensorFlow models. Without proper computer engineering background, it can be quite intimidating, even for people who feel comfortable with TensorFlow itself. Few things that I've found particularly hard were:

• Tutorial examples have C++ code (which I don't know)
• Tutorials have Kubernetes, gRPG, Bezel (some of which I saw for the first time)
• It needs to be compiled. That process takes forever!

After all, it worked just fine. Here I present an easiest possible way to deploy your models with TensorFlow Serving. You will have your self-built model running inside TF-Serving by the end of this tutorial. It will be scalable, and you will be able to query it via REST.

samithaj

import scala.math.{E, pow}

// Vector length
def vecLength(implicit values: List[Double]) = pow(values.sum, .5)

// Radial basis function
def rbf(v1: List[Double], v2: List[Double], gamma:Int = 20) = {
     val dv = { for(i <- (0 to v1.length)) yield (v1(i)-v2(i)) }.toList
     val l = vecLength(dv)
     pow(E, (-gamma*l))

samithaj

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

samithaj

#!/usr/bin/env python
#-*- coding: utf-8 -*-

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of

samithaj

Subreddit to YouTube Source Bookmarklet

Generates .M3U playlist of all YouTube videos in current subreddit listing for use in foobar2000 with the foo_youtube component.

First off, foo_youtube is awesome! It enables you to listen to YouTube songs in Foobar, which opens up possibilities like making playlists, enqueuing tracks, remembering playback state, quickly mixing in a song you don't have in your library, using DSPs like Channel Mixer (surround sound up-mixing from stereo works wonders!). You're also free to restart the browser, and you don't have to wonder which of the hundred tabs the sound is coming from, LOL.

How to install

1. Copy the contents of the second file Subreddit-to-YouTubeSource.min.js

2. Add a new bookmark

samithaj

// ==PREPROCESSOR==
// @name "Biography Photos"
// @author "Mire777"
// @feature "v1.4"
// @feature "watch-metadb"
// ==/PREPROCESSOR==

// Paths
var fbfolder = (fb.ProfilePath + "Artist_info");
var lfm_folder = window.GetProperty("Custom folder", fbfolder);