Name | PyCXpress JSON |
Version |
0.0.8
JSON |
| download |
home_page | https://github.com/chaoqing/PyCXpress |
Summary | PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing. |
upload_time | 2024-06-26 12:33:23 |
maintainer | None |
docs_url | None |
author | chaoqing |
requires_python | <4.0,>=3.8 |
license | MIT |
keywords |
cpp
embdedding
|
VCS |
 |
bugtrack_url |
|
requirements |
numpy
numpy
pybind11
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# PyCXpress
<div align="center">
[](https://github.com/chaoqing/PyCXpress/actions?query=workflow%3Abuild)
[](https://pypi.org/project/PyCXpress/)
[](https://github.com/chaoqing/PyCXpress/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)
[](https://github.com/psf/black)
[](https://github.com/PyCQA/bandit)
[](https://github.com/chaoqing/PyCXpress/blob/master/.pre-commit-config.yaml)
[](https://github.com/chaoqing/PyCXpress/releases)
[](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE)

PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing.
</div>
## 🛡 License
[](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE)
This project is licensed under the terms of the `MIT` license. See [LICENSE](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE) for more details.
## 📃 Citation
```bibtex
@misc{PyCXpress,
author = {chaoqing},
title = {PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing.},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/chaoqing/PyCXpress}}
}
```
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