Metadata-Version: 2.1
Name: akid
Version: 0.2
Summary: A python package to study the theory of Deep Neural Networks
Home-page: https://github.com/shawnLeeZX/akid
Author: Shuai Li
Author-email: lishuai918@gmail.com
License: UNKNOWN
Description: `akid` is a python package written for doing research in Neural Network (NN). It
        also aims to be production ready by taking care of concurrency and
        communication in distributed computing (which depends on the utilities provided
        by [PyTorch](http://pytorch.org) and [Tensorflow](http://tensorflow.org)). It
        could be seen as a user friendly front-end to torch, or tensorflow, like
        [Keras](https://keras.io/). It grows out of the motivation to reuse my old
        code, and in the long run, to explore alternative framework for building NN. It
        supports two backends, i.e., Tensorflow and Pytorch. If combining with
        [GlusterFS](https://www.gluster.org/), [Docker](https://www.docker.com/) and
        [Kubernetes](kubernetes.io), it is able to provide dynamic and elastic
        scheduling, auto fault recovery and scalability (which is not to brag
        the capability of `akid`, since the features are not features of `akid` but
        features thanks to open source (and libre software), but to mention the
        possibilities that they can be combined.).
        
        See http://akid.readthedocs.io/en/latest/index.html for documentation. The
        document is dated, and has not been updated to include new changes e.g., the
        PyTorch backend. But the backbone design is the same, and main features are
        there.
        
        NOTE: the PyTorch end support has been way ahead of Tensorflow support now ...
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
