https://github.com/ipc-lab/kaira
A PyTorch-based toolkit for simulating communication systems
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (16.1%) to scientific vocabulary
Keywords
Repository
A PyTorch-based toolkit for simulating communication systems
Basic Info
- Host: GitHub
- Owner: ipc-lab
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://kaira.readthedocs.io/
- Size: 4.35 MB
Statistics
- Stars: 53
- Watchers: 4
- Forks: 1
- Open Issues: 25
- Releases: 4
Topics
Metadata Files
README.md
Kaira - A PyTorch-based toolkit for simulating communication systems
Build Better Communication Systems with Kaira. Kaira is an open-source toolkit for PyTorch designed to help you simulate and innovate in communication systems. Its name is inspired by Kayra (from Turkic mythology, meaning 'creator') and Kairos (a Greek concept for the 'opportune moment'). This reflects Kaira's core purpose: to empower engineers and researchers to architect (Kayra) advanced communication models and to ensure messages are transmitted effectively and at the right moment (Kairos). Kaira provides the tools to design, analyze, and optimize complex communication scenarios, making it an essential asset for research and development.
Kaira is built to accelerate your research. Its user-friendly, modular design allows for easy integration with existing PyTorch projects, facilitating rapid prototyping of new communication strategies. This is particularly beneficial for developing and testing advanced techniques, such as deep joint source-channel coding (DeepJSCC) and other deep learning-based approaches, as well as classical forward error correction with industry-standard LDPC, Polar, and algebraic codes. Kaira helps you bring your innovative communication concepts to life.
Note: Kaira is currently in beta. The API is subject to change as we refine the library based on user feedback and evolving research needs.
Features
- Research-Oriented: Designed to accelerate communications research.
- Versatility: Compatible with various data types and neural network architectures.
- Ease of Use: User-friendly and easy to integrate with existing PyTorch projects.
- Open Source: Allows for community contributions and improvements.
- Well Documented: Comes with comprehensive documentation for easy understanding.
Example Code
Here's a simple example showing how to use Kaira's Bourtsoulatze2019 DeepJSCC model:
Installation
The fastest way to install Kaira is directly from PyPI:
bash
pip install pykaira
Quick Links
- GitHub Repository: https://github.com/ipc-lab/kaira/
- PyPI Package: https://pypi.org/project/pykaira
- Codecov: https://codecov.io/gh/ipc-lab/kaira
- License: https://github.com/ipc-lab/kaira/blob/master/LICENSE
Support
Get help and connect with the Kaira community through these channels:
- Documentation - Official project documentation
- GitHub Issues - Bug reports and feature requests
- Discussions - General questions and community discussions
Contributors
We thank all our contributors for their valuable input and efforts to make Kaira better!
How to Contribute
Contributions are welcome! Please see our Contributing Guide for more details on how to get started.
License
Kaira is distributed under the terms of the MIT License.
Citing Kaira
If you use Kaira in your research, please cite it using the following format:
bibtex
@software{kaira2025,
title = {Kaira: A {PyTorch}-based toolkit for simulating communication systems},
author = {{Kaira Contributors}},
year = {2025},
url = {https://github.com/ipc-lab/kaira},
version = {0.1.0}
}
Owner
- Name: ipc-lab
- Login: ipc-lab
- Kind: organization
- Repositories: 5
- Profile: https://github.com/ipc-lab
GitHub Events
Total
- Create event: 9
- Issues event: 24
- Release event: 4
- Watch event: 42
- Delete event: 5
- Issue comment event: 19
- Public event: 1
- Push event: 105
- Pull request review event: 13
- Pull request review comment event: 13
- Pull request event: 7
- Fork event: 1
Last Year
- Create event: 9
- Issues event: 24
- Release event: 4
- Watch event: 42
- Delete event: 5
- Issue comment event: 19
- Public event: 1
- Push event: 105
- Pull request review event: 13
- Pull request review comment event: 13
- Pull request event: 7
- Fork event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 21
- Total pull requests: 6
- Average time to close issues: 13 days
- Average time to close pull requests: about 2 months
- Total issue authors: 3
- Total pull request authors: 3
- Average comments per issue: 0.38
- Average comments per pull request: 0.5
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 21
- Pull requests: 6
- Average time to close issues: 13 days
- Average time to close pull requests: about 2 months
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 0.38
- Average comments per pull request: 0.5
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- selimfirat (12)
- dalonsoa (7)
- tsmbland (2)
Pull Request Authors
- selimfirat (3)
- smeshk (1)
- dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 32 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
pypi.org: pykaira
A PyTorch-based toolkit for simulating communication systems.
- Homepage: https://github.com/ipc-lab/kaira
- Documentation: https://kaira.readthedocs.io
- License: MIT
-
Latest release: 0.2.1
published 8 months ago
Rankings
Maintainers (1)
Dependencies
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