radekosmulski

Summary of Fastai.ai's in-depth discussion of types of normalization

# simulated batch of images
x = torch.rand(64, 3, 224, 224)
# or some number of layers up the convolutional stack
x = torch.rand(64, 256, 32, 32)

BatchNorm:

ceshine

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

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ceshine

mblondel

# 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

moyix

# Upper
cpulimit -l 1 -- taskset -c 0 ./pct
cpulimit -l 18 -- taskset -c 1 ./pct
cpulimit -l 35 -- taskset -c 2 ./pct
cpulimit -l 52 -- taskset -c 3 ./pct
cpulimit -l 69 -- taskset -c 4 ./pct
cpulimit -l 86 -- taskset -c 5 ./pct
cpulimit -l 103 -- taskset -c 6 ./pct

cpulimit -l 1 -- taskset -c 63 ./pct

tvst

"""Hack to add per-session state to Streamlit.

Usage
-----

>>> import SessionState
>>>
>>> session_state = SessionState.get(user_name='', favorite_color='black')
>>> session_state.user_name
''

ceshine

ceshine

import re


def cjk_detect(texts):
    # korean
    if re.search("[\uac00-\ud7a3]", texts):
        return "ko"
    # japanese
    if re.search("[\u3040-\u30ff]", texts):
        return "ja"

ceshine

How To Develop Python Programs in Visual Studio Code

Prerequisites

You have to already have these in your system:

• Python. Version 3.6+ is highly recommended.
  • Official CPython from python.org
  • Anaconda

• (Recommended) Miniconda