semvec/pypi-packages huggingface dataset:
lingvoreader 0.2.15
Linvo 11, 12, X3, X5 and X6 lsd reader Utilities compatible with python2.7 and python3

lsdreader
=========

python analog ABBYY DSL Compiler - decompile LSD dictionary to DSL.

Support Lingvo 11, 12, X3, X5 and X6 lsd files format.

Based on C++ source decoder.zip from ru-board user `tr7 <http://forum.ru-board.com/profile.cgi?action=show&member=tr7>`_
`Source on github <https://github.com/nongeneric/lsd2dsl>`_

Russian decompiling team on `ru-board.ru <http://forum.ru-board.com/topic.cgi?forum=93&topic=3774>`_

Project Page: https://github.com/sv99/lsdreader

Install
=======

Install from pip::

    pip install setuptools -U
    pip install lingvoreader

Install development version::

    git clone 
    pip install -e .
    
make tar.gz for PyPi::
    
    pip install twine
    python setup.py sdist
    twine upload dist/lingvoreader-x.x.x.tar.gz

Usage
-----
::

    lsdreader [-h] [--header] (-i INPUT | -a) [-o OUTDIR] [-c] [-v] [--version]
    
    Decode Lingvo 11, 12, X3, X5 and X6 lsd dictionary to dsl
    
    optional arguments:
      -h, --help            show this help message and exit
      --header              show header info and exit
      -i INPUT, --input INPUT
                            Dictionary to decode
      -a, --all             All dictionary in current directory
      -o OUTDIR, --outdir OUTDIR
                            Output directory
      -c, --codecs          print supported languages and their codes
      -v, --verbose
      --version             show program's version number and exit

Lingvo versions
===============

::

    11  2005  supported
    12  2006  supported
    x3  2008  supported
    x5  2011  supported
    x6  2014  (current) supported
opendp-pytorch 0.1.0
PyTorch integration for the OpenDP Library
Requires Python: >=3.6
Keywords: differential privacy

# OpenDP-PyTorch
[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9-blue)](https://www.python.org/)
[![ci tests](https://github.com/opendp/opendp-pytorch/actions/workflows/smoke-test.yml/badge.svg)](https://github.com/opendp/opendp-pytorch/actions/workflows/smoke-test.yml?query=branch%3Amain)

OpenDP-PyTorch is an extension to the [OpenDP](https://github.com/opendp/opendp) library for 
differentially private training of pytorch neural networks.

OpenDP-PyTorch is part of the larger [OpenDP Project](https://opendp.org), a community effort to build trustworthy,
open source software tools for analysis of private data.

## Status

OpenDP-PyTorch is under development, and we expect to [release new versions](https://github.com/opendp/opendp/releases) frequently,
incorporating feedback and code contributions from the OpenDP Community.
This library is not ready to build privacy-sensitive applications.

> OpenDP, like all real-world software, has both known and unknown issues.
> If you intend to use OpenDP for a privacy-critical application, you should evaluate the impact of these issues on your use case.
>
> More details can be found in the [Limitations section of the User Guide](https://docs.opendp.org/en/stable/user/limitations.html).


## Installation

The easiest way to install OpenDP-PyTorch is using `pip` (the [package installer for Python](https://pypi.org/project/pip/)):

    $ pip install opendp-pytorch

More information can be found in the [Getting Started section of the User Guide](https://docs.opendp.org/en/stable/user/getting-started.html).

## Documentation

Documentation is not yet available for the PyTorch extension.

## Getting Help

If you're having problems using OpenDP, or want to submit feedback, please reach out! Here are some ways to contact us:

* Ask questions on our [discussions forum](https://github.com/opendp/opendp/discussions)
* Open issues on our [issue tracker](https://github.com/opendp/opendp/issues)
* Send general queries to [info@opendp.org](mailto:info@opendp.org)
* Reach us on Twitter at [@opendp_org](https://twitter.com/opendp_org)

## Contributing

OpenDP is a community effort, and we welcome your contributions to its development!
If you'd like to participate, please see the [Contributing section of the Developer Guide](https://docs.opendp.org/en/stable/developer/intro.html)