ageis

#!/bin/bash
# ~/.bashrc: executed by bash(1) for non-login shells.
# kevin gallagher (@ageis) <kevingallagher@gmail.com>
# normally I divide this into separate files: .bashrc, .bash_profile, .bash_aliases and .bash_functions (also .bash_logout), but it's all concatenated here.

ulimit -s unlimited
export MYUID=$(id -u)
export USER="$(id -un)"

if [[ "$TILIX_ID" ]] || [[ "$VTE_VERSION" ]]; then

HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

pmdevita

# FFMPEG example of Blocking Mode Audio I/O https://people.csail.mit.edu/hubert/pyaudio/docs/

"""PyAudio Example: Play a wave file."""

import pyaudio
import wave
import sys
import subprocess

CHUNK = 1024

suqingdong

#!/usr/bin/env python
# -*- coding=utf-8 -*-
"""
Download subtitle from YouTube Viedos.
Update: add playlist url parse
"""
import os
import re
import sys
import json

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model