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.
Project description
PyCXpress
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.
🛡 License
This project is licensed under the terms of the MIT
license. See LICENSE for more details.
📃 Citation
@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}}
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pycxpress-0.0.3.tar.gz
(10.6 kB
view hashes)
Built Distribution
pycxpress-0.0.3-py3-none-any.whl
(11.1 kB
view hashes)
Close
Hashes for pycxpress-0.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4328a0ae8d2780bc8ea70a0626a354125d085817f203d7befe990feccc24b400 |
|
MD5 | 4b32ce7b8c5dc3501facb3db9752f025 |
|
BLAKE2b-256 | e8f839cea6217f9c06010caa634bc188ae083281985d92be3d659d3dc06897a4 |