Hythem Sidky hsidky

## Sinkhorn-solver.ipynb

      
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                wohlert
                / Sinkhorn-solver.ipynb
            
            
              Created
              April 3, 2019 11:43
            
              
                Sinkhorn solver in PyTorch
              
          
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## live_loss_plot_keras.ipynb

      
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                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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## XPS-15 9560 Getting Nvidia To Work on KDE Neon
# Instructions for 4.14 and cuda 9.1
# If upgrading from 4.13 and cuda 9.0
$ sudo apt-get purge --auto-remove libcud*
$ sudo apt-get purge --auto-remove cuda*
$ sudo apt-get purge --auto-remove nvidia*
# also remove the container directory direcotory at /usr/local/cuda-9.0/

# Important libs required with 4.14.x with Cuda 9.X
$ sudo apt install libelf1 libelf-dev

## mnist.py
""" A function that can read MNIST's idx file format into numpy arrays.

    The MNIST data files can be downloaded from here:

    http://yann.lecun.com/exdb/mnist/

    This relies on the fact that the MNIST dataset consistently uses
    unsigned char types with their data segments.
"""

## jupyter.service
# After Ubuntu 16.04, Systemd becomes the default.
# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py

## how-to-install-latest-gcc-on-ubuntu-lts.txt
These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

## arcs.py
from __future__ import division, print_function, absolute_import
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Arc
from matplotlib.collections import PatchCollection

__all__ = ['arcs']

def arcs(x, y, w, h=None, rot=0.0, theta1=0.0, theta2=360.0,
         c='b', vmin=None, vmax=None, **kwargs):

## gist:ec0a4005c25df57a1b9d
sudo apt-get install python-software-properties
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 50
sudo apt-get install g++-4.9
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 50

## unsafe_mpi.hpp
#pragma once

// Copyright (C) 2015 Lorenz Hübschle-Schneider <lorenz@4z2.de>
// MIT License

#include <cstdint>
#include <type_traits>
#include <vector>

#include <boost/mpi.hpp>

## damlevdist-improved.py
# Damerau-Levenshtein edit distane implementation
# Based on pseudocode from Wikipedia: https://en.wikipedia.org/wiki/Damerau-Levenshtein_distance

# Copyright © 2013 James Jensen
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the “Software”), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
	# Instructions for 4.14 and cuda 9.1
	# If upgrading from 4.13 and cuda 9.0
	$ sudo apt-get purge --auto-remove libcud*
	$ sudo apt-get purge --auto-remove cuda*
	$ sudo apt-get purge --auto-remove nvidia*
	# also remove the container directory direcotory at /usr/local/cuda-9.0/

	# Important libs required with 4.14.x with Cuda 9.X
	$ sudo apt install libelf1 libelf-dev
	""" A function that can read MNIST's idx file format into numpy arrays.

	The MNIST data files can be downloaded from here:

	http://yann.lecun.com/exdb/mnist/

	This relies on the fact that the MNIST dataset consistently uses
	unsigned char types with their data segments.
	"""
	# After Ubuntu 16.04, Systemd becomes the default.
	# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

	[Unit]
	Description=Jupyter Notebook

	[Service]
	Type=simple
	PIDFile=/run/jupyter.pid
	ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py
	These commands are based on a askubuntu answer http://askubuntu.com/a/581497
	To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
	USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
	ABSOLUTELY NO WARRANTY.

	If you are still reading let's carry on with the code.

	sudo apt-get update && \
	sudo apt-get install build-essential software-properties-common -y && \
	sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
	from __future__ import division, print_function, absolute_import
	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.patches import Arc
	from matplotlib.collections import PatchCollection

	__all__ = ['arcs']

	def arcs(x, y, w, h=None, rot=0.0, theta1=0.0, theta2=360.0,
	c='b', vmin=None, vmax=None, **kwargs):
	sudo apt-get install python-software-properties
	sudo add-apt-repository ppa:ubuntu-toolchain-r/test
	sudo apt-get update
	sudo apt-get install gcc-4.9
	sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 50
	sudo apt-get install g++-4.9
	sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 50
	#pragma once

	// Copyright (C) 2015 Lorenz Hübschle-Schneider <lorenz@4z2.de>
	// MIT License

	#include <cstdint>
	#include <type_traits>
	#include <vector>

	#include <boost/mpi.hpp>
	# Damerau-Levenshtein edit distane implementation
	# Based on pseudocode from Wikipedia: https://en.wikipedia.org/wiki/Damerau-Levenshtein_distance

	# Copyright © 2013 James Jensen
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the “Software”), to deal
	# in the Software without restriction, including without limitation the rights
	# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	# copies of the Software, and to permit persons to whom the Software is