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@mbijon
mbijon / probabalistic-patterened-blur.rb
Created May 8, 2021 00:30
Example of complex blur using Image Magick + mini_magick
# Copyright Ognjen Regoje, 2021
# https://ognjen.io/generating-more-interesting-image-previews-using-imagemagick/
#
####
require 'mini_magick'
INPUT_FILE = "input-1-lg.jpg"
image = MiniMagick::Image.open(INPUT_FILE)
size = image.dimensions.map{|x| x}
@mbijon
mbijon / webrick-ssl.rb
Created April 22, 2021 16:14 — forked from demisx/webrick-ssl.rb
Configure Webrick Server as SSL
#!/usr/bin/env ruby
require 'rubygems'
require 'rails/commands/server'
require 'rack'
require 'webrick'
require 'webrick/https'
module Rails
class Server < ::Rack::Server
def default_options
@mbijon
mbijon / git.nginx.conf
Created March 15, 2021 22:07
Serving git over "smart HTTP" >> nginx config for git-http-backend
# From: https://gemini.nytpu.com/gemlog/2021-03-07.gmi
########
#
# you should have other ssl configuration elsewhere...
server {
listen 443 ssl http2;
server_name git.nytpu.com;
charset utf-8;
# where cgit is installed to
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 21 18:59:49 2018
@author: Nhan Tran
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
@mbijon
mbijon / doorkeeper_config.md
Created June 2, 2020 19:08 — forked from jiggneshhgohel/doorkeeper_config.md
Doorkeeper (with JWT token) Server and Client applications configuration, references etc

Provider(aka Server)-side configuration, routes, controllers etc

Rails 5.0.0.1

Doorkeeper 4.2.6

Devise 4.2.0

Gemfile

@mbijon
mbijon / adabound.py
Created May 31, 2020 08:40
AdaBound AMSBound for Keras
# coding: utf-8
"""
Based on Luo et al. (2019). Adaptive Gradient Methods with Dynamic Bound of Learning Rate. In Proc. of ICLR 2019.
"""
from tensorflow import keras
class AdaBound(keras.optimizers.Optimizer):
def __init__(self, lr=0.001, beta1=0.9, beta2=0.999, final_lr=0.1, gamma=1e-3, epsilon=None, weight_decay=0, amsbound=False, **kwargs):
super(AdaBound, self).__init__(**kwargs)
with keras.backend.name_scope(self.__class__.__name__):
@mbijon
mbijon / min-char-rnn.py
Created May 13, 2020 05:56 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
@mbijon
mbijon / rbenv-ubuntu.sh
Created February 7, 2020 01:19 — forked from rahul286/rbenv-ubuntu.sh
rbenv ubuntu server cheatsheet
## ubuntu server with bash shell
git clone https://github.com/sstephenson/rbenv.git ~/.rbenv
echo 'export PATH="$HOME/.rbenv/bin:$PATH"' >> ~/.bash_profile
echo 'eval "$(rbenv init -)"' >> ~/.bash_profile
git clone https://github.com/sstephenson/ruby-build.git ~/.rbenv/plugins/ruby-build
## verify
type rbenv
@mbijon
mbijon / encode.py
Created October 20, 2019 07:16 — forked from duhaime/encode.py
Simple ASCII Encoding
import numpy as np
from scipy.misc import imread
from skimage.transform import resize
import matplotlib.pyplot as plt
import json, glob
#%matplotlib inline
def path_to_string(path):
'''Given a path to an image, return a string of that image as ascii'''