Royal FLush
Royal FLush is a Python framework specifically designed to facilitate the development, execution and analysis of multi-agent systems (MAS) federated learning (FL) experiments.
Installation
CPU
To install Royal FLush for CPU-only run:
pip install royalflush
GPU
To install Royal FLush with CUDA 12.6 in Windows, use the following command:
pip install royalflush --extra-index-url https://download.pytorch.org/whl/cu126
Incorrect installation may cause issues! Ensure you use the correct CUDA version for PyTorch 2.6.0. If you are unsure, check your CUDA version and visit: https://pytorch.org/get-started/locally/
Quickstart
For a quickstart example, check out the documentation at royalflush.readthedocs.io.
Features
- Documentation API at Read the Docs.
- PEP 8 style.
- Free software under the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for royalflush 0.4.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| royalflush-0.4.1.tar.gz | 58.9 kB | Without provenance | Details for royalflush-0.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| royalflush-0.4.1-py3-none-any.whl | Python 3 | none | any | Details for royalflush-0.4.1-py3-none-any.whl |
Total release size: 132.7 kB
Release files / royalflush-0.4.1.tar.gz
| Download URL | royalflush-0.4.1.tar.gz |
|---|---|
| Size | 58.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.10.11
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Release files / royalflush-0.4.1-py3-none-any.whl
| Download URL | royalflush-0.4.1-py3-none-any.whl |
|---|---|
| Size | 73.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
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Security for royalflush 0.4.1
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