espoirMur

I am no longer abe to monitor this post , I have decided to move everything to my personal blog for better monitoring.

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aditya-malte

generall

Bachfischer

# single prediction on last classifier
learn.load('clas_2')
m = learn.model
#set batch size to 1
m[0].bs=1
#turn off dropout
m.eval()
#reset hidden state
m.reset()  

mmellison

import asyncio
from concurrent import futures
import functools
import inspect
import threading

from grpc import _server

def _loop_mgr(loop: asyncio.AbstractEventLoop):

RhythmShahriar

/**-------------------------------------------------
 * Simple Captcha System
 * @package Code Snippets
 * @link http://rhythmshahriar.com/codes/
 * @author Rhythm Shahriar <[email protected]>
 * @link http://rhythmshahriar.com
 * @copyright Copyright © 2017, Rhythm Shahriar
 ---------------------------------------------------*/
body {
    background-color: #2d2d2d;

mau21mau

https://realpython.com/blog/python/asynchronous-tasks-with-django-and-celery/

Install Celery

$ pip install celery

Install celery Broker

$ sudo apt-get install rabbitmq-server

tsaqib

Ideas

I have collected and moderated these ideas from various public sources and put into one place so that problem solvers and solution developers may find inspirations. Because I wish to update it regularly, I have setup as a single page wiki. You may try these ideas on hackathons/competitions/research; some are quite intense problems and some are not. Many of the problems were prepared keeping Dhaka/Bangladesh in mind, but of course can be applied to just about any underdeveloped/developing and sometimes developed countries.

Categories:

• Eradicate Extreme Poverty and Hunger
• Education
• Healthcare
• Governance

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)