karbonn 0.0.4a0

A library of PyTorch modules

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
0.0.3	>=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.