Deep Learning toolkit
Project description
#WML
Machine learning tools library.
##Dependencies
- Linux or Mac OS
- Python ≥ 3.6
- scipy
- yacs
- OpenCV
- pycocotools
- gcc & g++ ≥ 4.9
- libturbojpeg
##Installation
pip install -r requirements.txt
License
WML itself is released under the MIT License (refer to the LICENSE file for details).
##Authors
Wang Jie bluetornado@zju.edu.cn
Copyright 2017 The WML Authors. All rights reserved.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
python_wml-3.0.0-py3-none-any.whl
(311.6 kB
view details)
File details
Details for the file python_wml-3.0.0-py3-none-any.whl.
File metadata
- Download URL: python_wml-3.0.0-py3-none-any.whl
- Upload date:
- Size: 311.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
72cd6bd9dc83fc2d9a8de0821ee4828584870af65e5aa74f842ec5b08fcfd3d3
|
|
| MD5 |
b52ffb5d981e899153d819ec0a6fa339
|
|
| BLAKE2b-256 |
c6e05778b3500b13ec842f11966ccd2efeeeb248333ef40ddb7717e04ca1ef69
|
