Mike Bijon mbijon

## polynomial_regression.py
# -*- 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

## doorkeeper_config.md

      
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                mbijon
                / doorkeeper_config.md
            
            
              Created Jun 2, 2020
                — forked from jiggneshhgohel/doorkeeper_config.md
            
              
                Doorkeeper (with JWT token) Server and Client applications configuration, references etc
              
          
      View doorkeeper_config.md
  
    
    Provider(aka Server)-side configuration, routes, controllers etc
Rails 5.0.0.1
Doorkeeper 4.2.6
Devise 4.2.0
Gemfile

  
## adabound.py
# 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__):

## min-char-rnn.py
"""
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)

## rbenv-ubuntu.sh
## 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

## encode.py
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'''

## measure_img_similarity.py
import warnings
from skimage.measure import compare_ssim
from skimage.transform import resize
from scipy.stats import wasserstein_distance
from scipy.misc import imsave
from scipy.ndimage import imread
import numpy as np
import cv2

##

## measure_img_similarity.py
import warnings
from skimage.measure import compare_ssim
from skimage.transform import resize
from scipy.stats import wasserstein_distance
from scipy.misc import imsave
from scipy.ndimage import imread
import numpy as np
import cv2

##

## nginx.conf
#
# CORS-header support example while nginx proxies Rails/Grape + Passenger
# ...not a complete config file
#
server {
        listen 443 ssl;
        root /foo/public;

        # Modify for API-specific
        try_files $uri/index.html $uri @passenger;

## umap_sparse.py
### JHW 2018
import numpy as np
import umap


# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module

import random
	# -- 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
	# 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__):
	"""
	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)
	## 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
	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'''
	import warnings
	from skimage.measure import compare_ssim
	from skimage.transform import resize
	from scipy.stats import wasserstein_distance
	from scipy.misc import imsave
	from scipy.ndimage import imread
	import numpy as np
	import cv2

	##
	#
	# CORS-header support example while nginx proxies Rails/Grape + Passenger
	# ...not a complete config file
	#
	server {
	listen 443 ssl;
	root /foo/public;

	# Modify for API-specific
	try_files $uri/index.html $uri @passenger;
	### JHW 2018
	import numpy as np
	import umap



	# This code from the excellent module at:
	# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module

	import random