agupta-yseop

Node.js Deployment

Steps to deploy a Node.js app to DigitalOcean using PM2, NGINX as a reverse proxy and an SSL from LetsEncrypt

Create free AWS Account at https://aws.amazon.com/

I would be creating a t2.medium ubuntu machine for this demo.

In 2016, Facebook AI Research (FAIR) broke new ground with Wav2Letter, a fully convolutional speech recognition system.

In Wav2Letter, FAIR showed that systems based on convolutional neural networks (CNNs) could person as well as traditional recurrent neural network-based approaches.

In this article, we'll focus on an understudied module at the core of Wav2Letter: the Auto Segmentation (ASG) Criterion.

	const jsdom = require('jsdom')
	const {
	JSDOM
	} = jsdom

	function toJSDOM(responseBody) {
	return new JSDOM(responseBody)
	}

	/**

	# git clone https://github.com/NVlabs/stylegan2
	import os
	import numpy as np
	from scipy.interpolate import interp1d
	from scipy.io import wavfile
	import matplotlib.pyplot as plt
	import PIL.Image
	import moviepy.editor

	import dnnlib

	# Authors: Mathieu Blondel, Vlad Niculae
	# License: BSD 3 clause

	import numpy as np


	def _gen_pairs(gen, max_iter, max_inner, random_state, verbose):
	rng = np.random.RandomState(random_state)

	# if tuple, interpret as randn

	class Ralamb(Optimizer):

	def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0):
	defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay)
	self.buffer = [[None, None, None] for ind in range(10)]
	super(Ralamb, self).__init__(params, defaults)

	def __setstate__(self, state):
	super(Ralamb, self).__setstate__(state)

	def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
	""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
	Args:
	logits: logits distribution shape (vocabulary size)
	top_k >0: keep only top k tokens with highest probability (top-k filtering).
	top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
	Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
	"""
	assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear
	top_k = min(top_k, logits.size(-1)) # Safety check