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@rxaviers
rxaviers / gist:7360908
Last active July 19, 2024 11:15
Complete list of github markdown emoji markup

People

:bowtie: :bowtie: 😄 :smile: 😆 :laughing:
😊 :blush: 😃 :smiley: ☺️ :relaxed:
😏 :smirk: 😍 :heart_eyes: 😘 :kissing_heart:
😚 :kissing_closed_eyes: 😳 :flushed: 😌 :relieved:
😆 :satisfied: 😁 :grin: 😉 :wink:
😜 :stuck_out_tongue_winking_eye: 😝 :stuck_out_tongue_closed_eyes: 😀 :grinning:
😗 :kissing: 😙 :kissing_smiling_eyes: 😛 :stuck_out_tongue:
@wikimatze
wikimatze / gist:9790374
Created March 26, 2014 18:43
Github Two-Factor Authentication Failed For HTTPS

I heard from GitHub Two-Factor Authentication](https://github.com/blog/1614-two-factor-authentication) nearly a couple of days ago when I was reading my RSS feed. I enabled it and couldn' push to any of my repositories anymore. Learn in this blog post how to fix it.

Two-Factor Authentication

"Is a process involving two stages to verify the identity of an entity trying to access services in a computer or in a network". Github solves this authentication with sending an SMS to a device which wants to push to their platform.

Enabling Two-Factor Authentication

@graydon
graydon / country-bounding-boxes.py
Created April 23, 2014 00:03
country bounding boxes
# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip
# under public domain terms
country_bounding_boxes = {
'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)),
'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)),
'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)),
'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)),
'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)),
'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)),
@rodneyrehm
rodneyrehm / gist:40e7946c0cff68a31cea
Last active November 7, 2022 09:11
Diagrams for Documentation

some tools for diagrams in software documentation

Diagrams For Documentation

Obvious Choices

ASCII

@craffel
craffel / draw_neural_net.py
Created January 10, 2015 04:59
Draw a neural network diagram with matplotlib!
import matplotlib.pyplot as plt
def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
'''
Draw a neural network cartoon using matplotilb.
:usage:
>>> fig = plt.figure(figsize=(12, 12))
>>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
@fchollet
fchollet / classifier_from_little_data_script_1.py
Last active July 16, 2024 11:16
Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
@ceshine
ceshine / frozen_lake.py
Created October 11, 2016 14:13
A simple q-learning algorithm for frozen lake env of OpenAI based on keras-rl
# -*- coding: utf-8 -*-
"""
@author: CeShine
Using keras-rl (https://github.com/matthiasplappert/keras-rl) to provide basic framework,
and embedding layer to make it essentially a Q-table lookup algorithm.
"""
import tempfile
@ateucher
ateucher / setup-gh-cli-auth-2fa.md
Last active May 3, 2024 11:06
Setup git on the CLI to use 2FA with GitHub

These are instructions for setting up git to authenticate with GitHub when you have 2-factor authentication set up. This authentication should be inherited by any GUI client you are using. These are intentionally brief instructions, with links to more detail in the appropriate places.

  1. Download and install the git command-line client (if required).

  2. Open the git bash window and introduce yourself to git (if required):

    git config --global user.name 'Firstname Lastname'
    git config --global user.email 'firstname.lastname@gov.bc.ca'
    
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@stared
stared / live_loss_plot_keras.ipynb
Last active February 25, 2023 10:20
Live loss plot for training models in Keras (see: https://github.com/stared/livelossplot/ for a library)
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