berak

## LICENSE
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
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

## websockets.md

      
              1 file
            
          
              3 forks
            
          
              2 comments
            
          
              90 stars
            
          
                jsomers
                / websockets.md
            
            
              Created
              September 27, 2018 12:50
            
              
                Using websockets to easily build GUIs for Python programs
              
          
    Using websockets to easily build GUIs for Python programs

I recently built a small agent-based model using Python and wanted to visualize the model in action. But as much as Python is an ideal tool for scientific computation (numpy, scipy, matplotlib), it's not as good for dynamic visualization (pygame?).
You know what's a very mature and flexible tool for drawing graphics? The DOM! For simple graphics you can use HTML and CSS; for more complicated stuff you can use Canvas, SVG, or WebGL. There are countless frameworks, libraries, and tutorials to help you draw exactly what you need. In my case, this was the animation I wanted:

(Each row represents a "worker" in my model, and each rectangle represents a "task.")

  
## Matrix.md

      
              7 files
            
          
              74 forks
            
          
              17 comments
            
          
              861 stars
            
          
                nadavrot
                / Matrix.md
            
            
              Last active
              May 8, 2024 18:53
            
              
                Efficient matrix multiplication
              
          
    High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix
multiplication program on modern processors. In this tutorial I will use a
single core of the Skylake-client CPU with AVX2, but the principles in this post
also apply to other processors with different instruction sets (such as AVX512).
Intro

Matrix multiplication is a mathematical operation that defines the product of

  
## mingw.patch
From 37163b5ad31d1a7dffa3d4fdf65ce9a357d12054 Mon Sep 17 00:00:00 2001
From: Amro <amroamroamro@gmail.com>
Date: Fri, 18 Aug 2017 16:19:26 +0300
Subject: [PATCH] fixes for MinGW

- add a define before including DShow header,
  to not use secure string replacements not defined by mingw
- dont pass gcc flags to windres which doesnt understand them
  (another workaround is to set ENABLE_PRECOMPILED_HEADERS=OFF)

## submit.md

      
              1 file
            
          
              27 forks
            
          
              21 comments
            
          
              148 stars
            
          
                tanaikech
                / submit.md
            
            
              Last active
              April 17, 2024 11:55
            
              
                Downloading Shared Files on Google Drive Using Curl
              
          
    Downloading Shared Files on Google Drive Using Curl

When the shared files on Google Drive is downloaded, it is necessary to change the download method by the file size. The boundary of file size when the method is changed is about 40MB.
File size < 40MB

CURL

filename="### filename ###"
fileid="### file ID ###"
curl -L -o ${filename} "https://drive.google.com/uc?export=download&amp;id=${fileid}"

  
## tensorflow_finetune.py
"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release v1.2
Based on PyTorch example from Justin Johnson
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

Required packages: tensorflow (v1.2)
Download the weights trained on ImageNet for VGG:
```
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz

## pg-pong.py
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

## reclaimWindows10.ps1
###
###
### UPDATE: For Win 11, I recommend using this tool in place of this script:
### https://christitus.com/windows-tool/
### https://github.com/ChrisTitusTech/winutil
### https://www.youtube.com/watch?v=6UQZ5oQg8XA
### iwr -useb https://christitus.com/win | iex
###
###

## kivy_cv.py
# coding:utf-8
from kivy.app import App
from kivy.uix.image import Image
from kivy.clock import Clock
from kivy.graphics.texture import Texture
import cv2


class KivyCamera(Image):
    def __init__(self, capture, fps, **kwargs):

## hngen.py
import urllib2
import re
import sys
from collections import defaultdict
from random import random

"""
PLEASE DO NOT RUN THIS QUOTED CODE FOR THE SAKE OF daemonology's SERVER, IT IS
NOT MY SERVER AND I FEEL BAD FOR ABUSING IT. JUST GET THE RESULTS OF THE
CRAWL HERE: http://pastebin.com/raw.php?i=nqpsnTtW AND SAVE THEM TO "archive.txt"
	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
	furnished to do so, subject to the following conditions:

	The above copyright notice and this permission notice shall be included in
	all copies or substantial portions of the Software.
	From 37163b5ad31d1a7dffa3d4fdf65ce9a357d12054 Mon Sep 17 00:00:00 2001
	From: Amro <amroamroamro@gmail.com>
	Date: Fri, 18 Aug 2017 16:19:26 +0300
	Subject: [PATCH] fixes for MinGW

	- add a define before including DShow header,
	to not use secure string replacements not defined by mingw
	- dont pass gcc flags to windres which doesnt understand them
	(another workaround is to set ENABLE_PRECOMPILED_HEADERS=OFF)
	"""
	Example TensorFlow script for finetuning a VGG model on your own data.
	Uses tf.contrib.data module which is in release v1.2
	Based on PyTorch example from Justin Johnson
	(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

	Required packages: tensorflow (v1.2)
	Download the weights trained on ImageNet for VGG:
	```
	wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward
	###
	###
	### UPDATE: For Win 11, I recommend using this tool in place of this script:
	### https://christitus.com/windows-tool/
	### https://github.com/ChrisTitusTech/winutil
	### https://www.youtube.com/watch?v=6UQZ5oQg8XA
	### iwr -useb https://christitus.com/win \| iex
	###
	###
	# coding:utf-8
	from kivy.app import App
	from kivy.uix.image import Image
	from kivy.clock import Clock
	from kivy.graphics.texture import Texture
	import cv2


	class KivyCamera(Image):
	def __init__(self, capture, fps, **kwargs):
	import urllib2
	import re
	import sys
	from collections import defaultdict
	from random import random

	"""
	PLEASE DO NOT RUN THIS QUOTED CODE FOR THE SAKE OF daemonology's SERVER, IT IS
	NOT MY SERVER AND I FEEL BAD FOR ABUSING IT. JUST GET THE RESULTS OF THE
	CRAWL HERE: http://pastebin.com/raw.php?i=nqpsnTtW AND SAVE THEM TO "archive.txt"