ProtoCorgi - Old Parry Prototype Mac OS

Posted on  by
Latest version

Released:

Game profile of ProtoCorgi (Switch eShop) first released 2020, developed by Kemono Games. An icon used to represent a menu that can be toggled by interacting with this icon. The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. Join the global Raspberry Pi community.

Highly extensible, GPU-supported Learning Vector Quantization (LVQ) toolbox built using PyTorch and its nn API.

Project description

Tensorflow users, see:ProtoFlow

Description

This is a Python toolbox brewed at the Mittweida University of Applied Sciencesin Germany for bleeding-edge research in Prototype-based Machine Learningmethods and other interpretable models. The focus of ProtoTorch is ease-of-use,extensibility and speed.

Installation

ProtoTorch can be installed using pip.

To also install the extras, use

Note: If you're using ZSH, the square brackets [ ]have to be escaped like so: [], making the install command pip install -U prototorch[all].

To install the bleeding-edge features and improvements:

Documentation

The documentation is available at https://www.prototorch.ml/en/latest/. Shouldthat link not work try https://prototorch.readthedocs.io/en/latest/.

Bibtex

If you would like to cite the package, please use this:

Release historyRelease notifications RSS feed

0.3.0.dev0 pre-release

Prototype

0.2.0

0.1.1rc0 pre-release

0.1.1.dev0 pre-release

0.1.0rc0 pre-release

Download

0.1.0.dev0 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for prototorch, version 0.2.0
Filename, sizeFile typePython versionUpload dateHashes
Filename, size prototorch-0.2.0.tar.gz (119.0 kB) File type Source Python version None Upload dateHashes
Close

Hashes for prototorch-0.2.0.tar.gz

Protocorgi - Old Parry Prototype Mac Os Download

Hashes for prototorch-0.2.0.tar.gz
AlgorithmHash digest
SHA2564728f4a2da9a0ca6faeb99869df226d7d09edb871c1b3bdd1e75f3edd98e4a5d
MD53555c2834a6e176c197f2db15bbff064
BLAKE2-256c2e331ca9cb79816631b83e42fe4e7f6b4c08bd736be8b4178c5c4113f9b253b