Skip to content

Instantly share code, notes, and snippets.

View sanromd's full-sized avatar

damian san roman alerigi sanromd

View GitHub Profile
@sixtenbe
sixtenbe / analytic_wfm.py
Last active May 1, 2024 02:29 — forked from endolith/peakdet.m
Peak detection in Python
#!/usr/bin/python2
# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law.
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See
@amueller
amueller / Diagram1.dia
Last active August 18, 2022 05:03
Machine learning cheat sheet diagram svg and dia file
@sanromd
sanromd / pyclaw_install_linux.sh
Last active August 29, 2015 13:56
pyclaw intstall generic linux
# This is version 2.0 of the script to install Pyclaw and dependencies on linux PC
# Authors: Aron Ahmadia, Damian San Roman
# Collaborators: David Ketcheson, Lisandro Dalcin
# ------------------------------------------------------------------------------ #
# This version uses github and bitbucket sources, alternatively you may select
# non-git sources, supported via wget
# ------------------------------------------------------------------------------ #
# ------------------------------------------------------------------------------ #
echo "\PETSc + PETSc4py Setup"
@sebkopf
sebkopf / gtk_install.md
Last active February 22, 2024 06:10
Installation information for R with GTK on Windows/Mac OS

Installation information for R with GTK+

Windows

Install the newest version of R. Additionally, I highly recommend R-Studio for working with R regularly (but the basic command line will work just fine for most applications). Once R is installed, you can install GTK directly from within R (details below). In short:

  1. From the R command line (e.g. in R-Studio), install the RGtk2 package by running: install.packages("RGtk2", depen=T)
    This might fail with the warning that package ‘RGtk2’ is not available (for R version xxx) if your version of R has been released very recently. If so, just run install.packages("RGtk2", depen=T, type="source") instead to install the RGtk2 package directly from its source code (this might take a few
@sanromd
sanromd / pyclaw_install_shaheen.sh
Last active August 29, 2015 13:57
This is version 1.0 of the script to install Pyclaw and dependencies on Shaheen
# This is version 2.0 of the script to install Pyclaw and dependencies on Shaheen
# Authors: Aron Ahmadia, Damian San Roman
# Collaborators: David Ketcheson, Lisandro Dalcin
# ------------------------------------------------------------------------------ #
# This version uses github and bitbucket sources, alternatively you may select
# non-git sources, supported via wget
# ------------------------------------------------------------------------------ #
# ------------------------------------------------------------------------------ #
echo "\nPrep/Setup"
# This is script version 3.0 - HPC & PyClaw in Mac OSX
# ------------------------------------------------------------------------------ #
# This version uses github and bitbucket sources
# ------------------------------------------------------------------------------ #
# ------------------------------------------------------------------------------ #
#!/bin/bash -x
echo -e "\n**************************************************************"
echo "Build a HPC system in MacOSX"
echo "**************************************************************"
@karpathy
karpathy / min-char-rnn.py
Last active May 1, 2024 11:00
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)
@sanromd
sanromd / analytic_wfm.py
Created April 15, 2017 19:43 — forked from sixtenbe/analytic_wfm.py
Peak detection in Python
#!/usr/bin/python2
# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law.
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See
@zhiyzuo
zhiyzuo / Install-Rattle-on-macOS.md
Last active May 17, 2020 12:17
A brief note on how to install rattle/RGtk2 on macOS
@jganzabal
jganzabal / Nvidia Titan XP + MacBook Pro + Akitio Node + Tensorflow + Keras.md
Last active November 2, 2022 11:43
How to setup Nvidia Titan XP for deep learning on a MacBook Pro with Akitio Node + Tensorflow + Keras