amoudgl

Setup Visdom on Remote Server

Install visdom on your local system and remote server.

pip3 install visdom

On remote server, do:

cheind

import cv2
import json
import pandas as pd
import numpy as np

def convert_to_pandas(content):
    events = []
    for obj in content:
        for f in obj['frames']:
            events.append({

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

bstriner

import glob
import os
import json


class WikiDoc(object):
    def __init__(self, url, text, id, title):
        self.url = url
        self.text = text
        self.id = id

tencia

from PIL import Image
import sys
import os
import math
import numpy as np

###########################################################################################
# script to generate moving mnist video dataset (frame by frame) as described in
# [1] arXiv:1502.04681 - Unsupervised Learning of Video Representations Using LSTMs
#     Srivastava et al