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
Built Distribution
File details
Details for the file pycxpress-0.0.7.tar.gz
.
File metadata
- Download URL: pycxpress-0.0.7.tar.gz
- Upload date:
- Size: 13.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4897ed208795e8461865cb0ddbf85c8d1bb56c2f61e44c112cc84d2121b78a4e |
|
MD5 | a55a0617c5999e69f8229e7611513f9a |
|
BLAKE2b-256 | cbfaf4af14a05b81ba54c880de168a3d03bf27c81247e13427db461753c0df14 |
File details
Details for the file pycxpress-0.0.7-py3-none-any.whl
.
File metadata
- Download URL: pycxpress-0.0.7-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9c72a799e55c19d1ee6e99dd957877dcccfe54202d6a7b70fdb6c3fe5bedfabf |
|
MD5 | 1ffb5849da82247f21080a989f43a0c5 |
|
BLAKE2b-256 | 81e3e11d8c24d44cb979bb7d5a3057258746bd52d2d0f8aece2822f8b1265baa |