terminalai/kca

Keras Core Addons: Useful extra functionality for Keras Core.

Keras Core Addons

Keras Core Addons is a repository of contributions that conform to well-established API patterns, but implement new functionality not available in Keras Core. Keras Core natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core Keras Core (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

Unlike the package this is inspired by (Tensorflow Addons), Keras Core Addons maintains a near similar structure to Keras Core, with the activations, layers and losses structure being continued. This is for potential adoption into Keras Core being as seamless as possible.

Setup and Installation

Installing from PyPI

Yes, we have published kca on PyPI! To install kca and all its dependencies, the easiest method would be to use pip to query PyPI. This should, by default, be present in your Python installation. To, install run the following command in a terminal or Command Prompt / Powershell:

$ pip install kca

Depending on the OS, you might need to use pip3 instead. If the command is not found, you can choose to use the following command too:

$ python -m pip install kca

Here too, python or pip might be replaced with py or python3 and pip3 depending on the OS and installation configuration. If you have any issues with this, it is always helpful to consult Stack Overflow.

Installing from Source

To install from source, you need to get the following:

Git

Git is needed to install this repository. This is not completely necessary as you can also install the zip file for this repository and store it on a local drive manually. To install Git, follow this guide.

After you have successfully installed Git, you can run the following command in a terminal / Command Prompt etc:

$ git clone https://github.com/terminalai/kca.git

This stores a copy in the folder kca. You can then navigate into it using cd kca.

Poetry

This project can be used easily via a tool know as Poetry. This allows you to easily reflect edits made in the original source code! To install poetry, you can also install it using pip by typing in the command as follows:

$ pip install poetry

Again, if you have any issues with pip, check out here.

After this, you can use the following command to install this library:

$ poetry install