Utility library for deep learning
Project description
pydlutils
About
python utils library for deep learning, computer vision, LLM, slam or other python related job.
Module instruction
-
basic place the basic module, type definition, utility function.
-
third party place modules which come from other repositories.
-
torch place torch related high level api.
Installation
pip install pydlutils
Build and Upload
# build
python setup.py sdist bdist_wheel
# upload
twine upload dist/*
Publications
@software{pydlutils,
author = {zebincai},
title = {pydlutils},
url = {\url{https://github.com/zebincai/pydlutils}},
}
License
pydlutils has a Apache license, as found in the LICENSE file.
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
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
File details
Details for the file pydlutils-0.0.3.tar.gz.
File metadata
- Download URL: pydlutils-0.0.3.tar.gz
- Upload date:
- Size: 35.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0e18c68805abbf758f3f8d51ac2e0e02e82e52753e8e9459def8e56571724a5b
|
|
| MD5 |
c0b76f87a942cbb807ba7c648b298094
|
|
| BLAKE2b-256 |
aa590451fefaccd0d6c3a8012fe05120c433e9d9078f2204a76ec3bc278c7340
|
File details
Details for the file pydlutils-0.0.3-py3-none-any.whl.
File metadata
- Download URL: pydlutils-0.0.3-py3-none-any.whl
- Upload date:
- Size: 63.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
424cbfa51c869d443b5c900b95a41662c390c0c0adf3c520dfda9628ca2e2546
|
|
| MD5 |
03521dfdba4938a56aa98f1d804c85c9
|
|
| BLAKE2b-256 |
0fcae50cdc2ceaf3fc1978d6c10837982a1b781fc5545a7008132e123db6e79b
|