markemus

"""Easily save tf.data.Datasets as tfrecord files, and restore tfrecords as Datasets.

The goal of this module is to create a SIMPLE api to tfrecords that can be used without
learning all of the underlying mechanics.

Users only need to deal with 2 functions:
save(dataset)
dataset = load(tfrecord, header)

To make this work, we create a .header file for each tfrecord which encodes metadata

carlthome

bmcfee

f0k

MIT License

Copyright (c) 2017 Jan Schlüter

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

khardix

#!/usr/bin/env python3.6

import asyncio
from contextlib import closing

import aiohttp
import tqdm


async def download(session, url, progress_queue):

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

spro

import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
from torch import optim
import numpy as np
import math, random

# Generating a noisy multi-sin wave 

davecg

#!/usr/bin/env python3

'''
This will convert Keras 1 model weights and configurations
to their Keras 2 equivalent.  Please note that all optimizer
configuration is ignored with this script and models will 
need to be recompiled.
'''

import h5py

udibr

import numpy as np
from keras.layers import GRU, initializations, K
from collections import OrderedDict

class GRULN(GRU):
    '''Gated Recurrent Unit with Layer Normalization
    Current impelemtation only works with consume_less = 'gpu' which is already
    set.

    # Arguments

alexanderwallin

#!/bin/bash

#
# Extracts tracks from stems files and puts them in folders
# named after the stem filenames.
#

for stem in *.mp4
do
	name=${stem%\.*}