Nik georgeblck

## tmux_cheatsheet.markdown

      
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                henrik
                / tmux_cheatsheet.markdown
            
            
              Created
              March 3, 2012 19:47
            
              
                tmux cheatsheet
              
          
    tmux cheatsheet

As configured in my dotfiles.
start new:
tmux

start new with session name:

  
## private_fork.md

      
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                0xjac
                / private_fork.md
            
            
              Last active
              May 20, 2024 08:00
            
              
                Create a private fork of a public repository
              
          
    The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:

Create a bare clone of the repository.
(This is temporary and will be removed so just do it wherever.)


git clone --bare git@github.com:usi-systems/easytrace.git

  
## 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)

## gist:587454dc0146a6ae21fc
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:

  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

## gist:1885435

      
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                CristinaSolana
                / gist:1885435
            
            
              Created
              February 22, 2012 14:56
            
              
                Keeping a fork up to date
              
          
    1. Clone your fork:

git clone git@github.com:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream


## multireplace.py
def multireplace(string, replacements, ignore_case=False):
    """
    Given a string and a replacement map, it returns the replaced string.

    :param str string: string to execute replacements on
    :param dict replacements: replacement dictionary {value to find: value to replace}
    :param bool ignore_case: whether the match should be case insensitive
    :rtype: str

    """

## forecasting_metrics.py
import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted

## nc2tiff.R
require(ncdf)
require(raster)

## Input: a netCDF file
file.nc <- 'rain.nc'

## Output: a GeoTIFF file
file.tiff <- 'rain.tiff'

## Import netCDF

## sound_recorder.py
import pyaudio
import wave

FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
CHUNK = 1024
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "file.wav"


## pytorch_image_folder_with_file_paths.py
import torch
from torchvision import datasets

class ImageFolderWithPaths(datasets.ImageFolder):
    """Custom dataset that includes image file paths. Extends
    torchvision.datasets.ImageFolder
    """

    # override the __getitem__ method. this is the method that dataloader calls
    def __getitem__(self, index):
	"""
	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)
	"""
	This is a batched LSTM forward and backward pass
	"""
	import numpy as np
	import code

	class LSTM:

	@staticmethod
	def init(input_size, hidden_size, fancy_forget_bias_init = 3):
	def multireplace(string, replacements, ignore_case=False):
	"""
	Given a string and a replacement map, it returns the replaced string.

	:param str string: string to execute replacements on
	:param dict replacements: replacement dictionary {value to find: value to replace}
	:param bool ignore_case: whether the match should be case insensitive
	:rtype: str

	"""
	import numpy as np

	EPSILON = 1e-10


	def _error(actual: np.ndarray, predicted: np.ndarray):
	""" Simple error """
	return actual - predicted
	require(ncdf)
	require(raster)

	## Input: a netCDF file
	file.nc <- 'rain.nc'

	## Output: a GeoTIFF file
	file.tiff <- 'rain.tiff'

	## Import netCDF
	import pyaudio
	import wave

	FORMAT = pyaudio.paInt16
	CHANNELS = 2
	RATE = 44100
	CHUNK = 1024
	RECORD_SECONDS = 5
	WAVE_OUTPUT_FILENAME = "file.wav"
	import torch
	from torchvision import datasets

	class ImageFolderWithPaths(datasets.ImageFolder):
	"""Custom dataset that includes image file paths. Extends
	torchvision.datasets.ImageFolder
	"""

	# override the __getitem__ method. this is the method that dataloader calls
	def __getitem__(self, index):