https://github.com/yura52/delu

Deep Learning Utilities for PyTorch users (old name: Zero)
https://github.com/yura52/delu

ai artificial-intelligence deep-learning machine-learning neural-networks python pytorch

Last synced: 13 days ago
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Deep Learning Utilities for PyTorch users (old name: Zero)

• Host: GitHub
• URL: https://github.com/yura52/delu
• Owner: Yura52
• License: mit
• Created: 2020-04-30T21:22:07.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-08-10T20:46:16.000Z (3 months ago)
• Last Synced: 2024-10-20T06:45:03.816Z (25 days ago)
• Topics: ai, artificial-intelligence, deep-learning, machine-learning, neural-networks, python, pytorch
• Language: Python
• Homepage: https://yura52.github.io/delu/
• Size: 4.35 MB
• Stars: 34
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
⚫️ DeLU (Deep Learning Utilities)

=================================

`Documentation `_

.. __INCLUDE_0__

**DeLU is a simple PyTorch toolbox**

aimed at improving the day-to-day experience with PyTorch.

DeLU includes the following submodules:

.. list-table::

   :widths: 20 200

   :header-rows: 0

   * - ``delu``

     - An extension to ``torch``.

   * - ``delu.cuda``

     - An extension to ``torch.cuda``.

   * - ``delu.nn``

     - An extension to ``torch.nn``.

   * - ``delu.random``

     - An extension to ``torch.random``.

   * - ``delu.tools``

     - Handy tools for common scenarios (e.g. for implementing training loops).

**Project status** 🧪

*Until the release of the version 0.1.0, DeLU should be considered as experimental.

All changes are carefully documented in the release notes.*

Installation

------------

.. code-block:: none

    pip install delu

Usage

-----

*DeLU is a toolbox, not a framework,

so you can learn things and start using them in any order.*

The "Usage & API" section on the website

provides usage examples, explanations and docstrings

--- it is the main source of knowledge about DeLU.

How to contribute

-----------------

- Use `issues `_

  to report bugs, share ideas and give feedback.

- For pull requests, see

  `CONTRIBUTING.md `_.