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@jganzabal
jganzabal / Nvidia Titan XP + MacBook Pro + Akitio Node + Tensorflow + Keras.md
Last active July 10, 2025 15:43
How to setup Nvidia Titan XP for deep learning on a MacBook Pro with Akitio Node + Tensorflow + Keras
@IamAdiSri
IamAdiSri / Python3, Pip3, Virtualenv and Virtualenvwrapper Setup
Last active May 9, 2022 22:08 — forked from evansneath/Python3 Virtualenv Setup
Setting up and using Python3, Pip3, Virtualenv (for Python3) and Virtualenvwrapper (for Python3)
First install pip for Python2. Download the get-pip.py file from https://bootstrap.pypa.io/get-pip.py
$ cd <download location>
$ sudo -H python ./get-pip.py
Installing pip also installs Python3
To run Python3
$ python3
Install pip3 by just executing the same file as in the step above, but this time using Python3
$ sudo -H python3 ./get-pip.py
@veselosky
veselosky / s3gzip.py
Last active August 29, 2024 11:32
How to store and retrieve gzip-compressed objects in AWS S3
# vim: set fileencoding=utf-8 :
#
# How to store and retrieve gzip-compressed objects in AWS S3
###########################################################################
#
# Copyright 2015 Vince Veselosky and contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
@foosel
foosel / README.md
Last active October 4, 2024 04:21
Getting the fingerprint reader of a Thinkpad x240 to work under Ubuntu 14.04

lsusb lists the fingerprint reader in the x240 as follows:

Bus 002 Device 003: ID 138a:0017 Validity Sensors, Inc.

There exists experimental driver support for this in a fork of libfprint for vfs5011 sensors, however you'll need to compile the driver yourself. To get the fingerprint sensor to work for lightdm login, su etc, follow these steps.

  1. Install fingerprint-gui:

    sudo add-apt-repository ppa:fingerprint/fingerprint-gui
    
@MaxBareiss
MaxBareiss / frechet.py
Last active July 7, 2023 13:36
Fréchet Distance in Python
# Euclidean distance.
def euc_dist(pt1,pt2):
return math.sqrt((pt2[0]-pt1[0])*(pt2[0]-pt1[0])+(pt2[1]-pt1[1])*(pt2[1]-pt1[1]))
def _c(ca,i,j,P,Q):
if ca[i,j] > -1:
return ca[i,j]
elif i == 0 and j == 0:
ca[i,j] = euc_dist(P[0],Q[0])
elif i > 0 and j == 0: