Yet Another U-Net
yaunet (ya' you net) is a simple, modular U-Net implementation in PyTorch.
Features:
- Simple implementation only dependent on PyTorch and einops.
- Aims to be small, modular and highly configurable.
- Provides a decent number of commonly used building blocks.
- All blocks support AdaLN-Zero-like conditioning for training conditional models e.g. class- and time-conditioned diffusion models.
Installation
pip install yaunet # or `uv add yaunet`
Documentation
Read the API documentation at yaunet.readthedocs.io.
1 maintainer
Metadata
1 maintainer
Release files for yaunet 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yaunet-0.1.3.tar.gz | 12.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yaunet-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.0 kB
Release files / yaunet-0.1.3.tar.gz
| Download URL | yaunet-0.1.3.tar.gz |
|---|---|
| Size | 12.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / yaunet-0.1.3-py3-none-any.whl
| Download URL | yaunet-0.1.3-py3-none-any.whl |
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| Size | 19.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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