SZanlongo SZanlongo

## think_in_math.md

      
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              39 stars
            
          
                justinmeiners
                / think_in_math.md
            
            
              Last active
              November 9, 2023 09:33
            
          
    READ HERE

  
## understanding-word-vectors.ipynb

      
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              51 comments
            
          
              1443 stars
            
          
                aparrish
                / understanding-word-vectors.ipynb
            
            
              Last active
              July 9, 2024 15:59
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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## integer_programming_drivers.py
#!/usr/bin/env python

from collections import defaultdict
from pprint import pprint
import random

from pulp import *


def generate_trips(route_names, start_hour, end_hour):

## UpdateChocolatey.bat
@echo off
powershell -NoProfile -ExecutionPolicy ByPass -File "%~d0%~p0%~n0.ps1"

## .git-commit-template.txt
# <type>: (If applied, this commit will...) <subject> (Max 50 char)
# |<----  Using a Maximum Of 50 Characters  ---->|


# Explain why this change is being made
# |<----   Try To Limit Each Line to a Maximum Of 72 Characters   ---->|

# Provide links or keys to any relevant tickets, articles or other resources
# Example: Github issue #23

## keras.py
""" From:  http://danielhnyk.cz/predicting-sequences-vectors-keras-using-rnn-lstm/ """
from keras.models import Sequential
from keras.layers.core import TimeDistributedDense, Activation, Dropout
from keras.layers.recurrent import GRU
import numpy as np

def _load_data(data, steps = 40):
    docX, docY = [], []
    for i in range(0, data.shape[0]/steps-1):
        docX.append(data[i*steps:(i+1)*steps,:])

## README-Template.md

      
              1 file
            
          
              4764 forks
            
          
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              14037 stars
            
          
                PurpleBooth
                / README-Template.md
            
            
              Last active
              July 25, 2024 13:33
            
              
                A template to make good README.md
              
          
    Project Title

One Paragraph of project description goes here
Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Prerequisites


## port_open.rb
def is_port_open?(ip, port)
  begin
    Timeout::timeout(20) do
      begin
        s = TCPSocket.new(ip, port)
        s.close
        return true
      rescue Errno::ECONNREFUSED, Errno::EHOSTUNREACH
        return false
      end

## .gitignore
build/

## The Technical Interview Cheat Sheet.md

      
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              3398 forks
            
          
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              8430 stars
            
          
                tsiege
                / The Technical Interview Cheat Sheet.md
            
            
              Last active
              July 20, 2024 16:44
            
              
                This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
              
          
    ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!


\
	#!/usr/bin/env python

	from collections import defaultdict
	from pprint import pprint
	import random

	from pulp import *


	def generate_trips(route_names, start_hour, end_hour):
	@echo off
	powershell -NoProfile -ExecutionPolicy ByPass -File "%~d0%~p0%~n0.ps1"
	# <type>: (If applied, this commit will...) <subject> (Max 50 char)
	# \|<---- Using a Maximum Of 50 Characters ---->\|


	# Explain why this change is being made
	# \|<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->\|

	# Provide links or keys to any relevant tickets, articles or other resources
	# Example: Github issue #23
	""" From: http://danielhnyk.cz/predicting-sequences-vectors-keras-using-rnn-lstm/ """
	from keras.models import Sequential
	from keras.layers.core import TimeDistributedDense, Activation, Dropout
	from keras.layers.recurrent import GRU
	import numpy as np

	def _load_data(data, steps = 40):
	docX, docY = [], []
	for i in range(0, data.shape[0]/steps-1):
	docX.append(data[isteps:(i+1)steps,:])
	def is_port_open?(ip, port)
	begin
	Timeout::timeout(20) do
	begin
	s = TCPSocket.new(ip, port)
	s.close
	return true
	rescue Errno::ECONNREFUSED, Errno::EHOSTUNREACH
	return false
	end