Description:
karbonn 0.0.2
karbonn
A library of PyTorch modules
Installation
We highly recommend installing
a virtual environment.
karbonn can be installed from pip using the following command:
pip install karbonn
To make the package as slim as possible, only the minimal packages required to use karbonn are
installed.
To include all the dependencies, you can use the following command:
pip install karbonn[all]
Please check the get started page to see how to
install only some specific dependencies or other alternatives to install the library.
The following is the corresponding karbonn versions and tested dependencies.
karbonn
coola
minrecord
numpy`*
objectory*
pytorch-ignite*
tabulate*
torch
python
main
>=0.8.2,<1.0
>=0.0.2,<1.0
>=1.22,<3.0
>=0.1,<1.0
>=0.4.11,<1.0
>=0.9,<0.10
>=1.12,<3.0
>=3.9,<3.13
0.0.2
>=0.8.2,<1.0
>=0.0.2,<1.0
>=1.22,<3.0
>=0.1,<1.0
>=0.4.11,<1.0
>=0.9,<0.10
>=1.12,<3.0
>=3.9,<3.13
0.0.1
>=0.5,<1.0
>=1.22,<2.0
>=0.1,<1.0
>=0.9,<0.10
>=1.10,<3.0
>=3.9,<3.13
* indicates an optional dependency
Contributing
Please check the instructions in CONTRIBUTING.md.
Suggestions and Communication
Everyone is welcome to contribute to the community.
If you have any questions or suggestions, you can
submit Github Issues.
We will reply to you as soon as possible. Thank you very much.
API stability
:warning: While karbonn is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading karbonn to a new version will possibly break any code that
was using the old version of karbonn.
License
karbonn is licensed under BSD 3-Clause "New" or "Revised" license available in LICENSE
file.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
