karpathy / min-char-rnn.py

Last active July 10, 2025 01:16

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	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)

jlisic / rasterTool.R

Last active June 28, 2017 14:44

Simple tools to use gdal to polygonize and rasterize

	library(cdlTools)
	library(rgdal)
	library(raster)
	library(rgeos)


	# rasterize in the R 'raster' package is really slow, depending on your needs this may work better
	# Author: Jonathan Lisic
	# License BSD
	polyExtract <- function(x) {

karpathy / gist:587454dc0146a6ae21fc

Last active May 14, 2025 00:08

An efficient, batched LSTM.

	"""
	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):

mabdrabo / sound_recorder.py

Created January 28, 2014 23:05

Simple script to record sound from the microphone, dependencies: easy_install pyaudio

	import pyaudio
	import wave

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

bertbalcaen / Extract all frames from a 24 fps movie using ffmpeg

Last active April 6, 2021 09:02

Extract all frames from a 24 fps movie using ffmpeg

ffmpeg -i shame-run.mov -r 24/1 test/output%03d.jpg

xuanlongma / nc2tiff.R

Last active March 30, 2024 20:01

From netCDF to GeoTIFF using R

	require(ncdf)
	require(raster)

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

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

	## Import netCDF

ashwin / latex-letter.tex

Created January 2, 2013 06:31

Simple letter template for LaTeX

	%-----------------------------------------------------------------------------%

	% Letter class
	\documentclass[a4paper, 10pt]{letter}

	% Name of sender
	\name{Joe Fox}

	% Signature of sender
	\signature{Joe Fox}

fabianp / svd_memory.py

Created December 10, 2012 14:10

Timings and memory consumption for the singular value decomposition implemented in scipy. The script svd_memory.py generates a plot about the memory consumption (requires the package `memory_profiler`) and the second one will plot the timings. The scripts will perform several iterations for matrices of different sizes and will take about 30 minu…

	# .. Memory benchmarks for SciPy's Singular Value Decomposition ..
	# .. Author: Fabian Pedregosa <[email protected]>

	import numpy as np
	from scipy.sparse import linalg as splinalg
	from scipy import sparse, linalg
	import pylab as pl
	from memory_profiler import memory_usage

	dims = np.arange(500, 1500, 20)

seberg / rolling_window.py

Created October 10, 2012 14:38

Multidimensional rolling_window for numpy

	def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
	"""Create a view of `array` which for every point gives the n-dimensional
	neighbourhood of size window. New dimensions are added at the end of
	`array` or after the corresponding original dimension.

	Parameters
	----------
	array : array_like
	Array to which the rolling window is applied.
	window : int or tuple

henrik / tmux_cheatsheet.markdown

Created March 3, 2012 19:47

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

Nik georgeblck

tmux cheatsheet