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Deep Learning Utilities for PyTorch users (old name: Zero)
⚫️ DeLU (Deep Learning Utilities)
Documentation <https://yura52.github.io/delu>
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.. 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
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delu
- An extension to
torch
.
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delu.cuda
- An extension to
torch.cuda
.
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delu.nn
- An extension to
torch.nn
.
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delu.random
- An extension to
torch.random
.
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delu.tools
- Handy tools for common scenarios (e.g. for implementing training loops).
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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 <https://github.com/Yura52/delu/issues>
_ to report bugs, share ideas and give feedback. - For pull requests, see
CONTRIBUTING.md <https://github.com/Yura52/delu/blob/main/CONTRIBUTING.md>
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