Metadata-Version: 2.1
Name: labml_nn
Version: 0.4.2
Summary: A collection of PyTorch implementations of neural network architectures and layers.
Home-page: https://github.com/lab-ml/labml_nn
Author: Varuna Jayasiri, Nipun Wijerathne
Author-email: vpjayasiri@gmail.com, hnipun@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://lab-ml.com/
Description: .. image:: https://badge.fury.io/py/labml-nn.svg
            :target: https://badge.fury.io/py/labml-nn
        .. image:: https://pepy.tech/badge/labml-nn
            :target: https://pepy.tech/project/labml-nn
        
        `LabML Neural Networks <http://lab-ml.com/labml_nn/index.html>`_
        ================================================================
        
        This is a collection of simple PyTorch implementation of various neural network architectures and layers. We will keep adding to this.
        
        Transformers
        ------------
        
        `Transformers module  <http://lab-ml.com/labml_nn/transformers>`_ contains implementations for
        `multi-headed attention <http://lab-ml.com/labml_nn/transformers/mha.html>`_
        and
        `relative multi-headed attention <http://lab-ml.com/labml_nn/transformers/relative_mha.html>`_.
        
        Recurrent Highway Networks
        --------------------------
        
        This is the implementation for `Recurrent Highway Networks <http://lab-ml.com/labml_nn/recurrent_highway_networks>`_.
        
        
        LSTM
        ----
        
        This is the implementation for `LSTMs <http://lab-ml.com/labml_nn/lstm>`_.
        
        ✅ Please create a Github issue if there's something you'ld like to see implemented here.
        
        Installation
        ------------
        
        .. code-block:: console
        
            pip install labml_nn
        
        Links
        -----
        
        `💬 Slack workspace for discussions <https://join.slack.com/t/labforml/shared_invite/zt-egj9zvq9-Dl3hhZqobexgT7aVKnD14g/>`_
        
        `📗 Documentation <http://lab-ml.com/>`_
        
        `📑 Articles & Tutorials <https://medium.com/@labml/>`_
        
        `👨‍🏫 Samples <https://github.com/lab-ml/samples>`_
        
        
        Citing LabML
        ------------
        
        If you use LabML for academic research, please cite the library using the following BibTeX entry.
        
        .. code-block:: bibtex
        
        	@misc{labml,
        	 author = {Varuna Jayasiri, Nipun Wijerathne},
        	 title = {LabML: A library to organize machine learning experiments},
        	 year = {2020},
        	 url = {https://lab-ml.com/},
        	}
        
        
Keywords: machine learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/x-rst
