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🚀 DeepSaki

DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!

The project started as fun project to learn and to collect the code snippets I was using in my projects. Now it has been transformed into a modern SW package featuring CI/CD and a documentation.

🎖️ Some highlights:

⌚ Coming soon:

  • A CycleGAN framework as used in VoloGAN
  • A diffusion model framework as used in RGB-D-Fusion
  • Further support for complex valued deep learning

🛠️ Installation

Using git

git clone https://github.com/sascha-kirch/DeepSaki.git
cd DeepSaki
pip install .

Using pip

PyPI PyPI - Status

pip install DeepSaki

🤝 Contribute to DeepSaki

I highly encourage you to contribute to DeepSaki. Checkout our contribution guide to get started.

⭐ Star History

Star History Chart

Metadata

Release files for DeepSaki 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for DeepSaki 1.0.1
File Size Uploaded
DeepSaki-1.0.1.tar.gz 1.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for DeepSaki 1.0.1
File Interpreter ABI Platform
DeepSaki-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 1.3 MB

Release files / DeepSaki-1.0.1.tar.gz

Download URL DeepSaki-1.0.1.tar.gz
Size 1.2 MB
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Release files / DeepSaki-1.0.1-py3-none-any.whl

Download URL DeepSaki-1.0.1-py3-none-any.whl
Size 54.2 kB
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Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files

1.0.0

2 release files

0.1.3

1 release file

0.1.2

1 release file

0.1.0

1 release file

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