semvec/pypi-packages huggingface dataset:
opsbot 20.10.45
I'm Opsbot. I can help you create the best devops scripts.
License: MIT

usage: opsbot.py [-h] {init,build} ...

I'm Opsbot. I can help you build the best devops scripts.

positional arguments:
  {init,build}  Avaiable commands
    init        Create .opsbot file, where you will write devops plan
    build       Build .opsbot file. export devops scripts

optional arguments:
  -h, --help    show this help message and exit
bandwidth-monitor 0.3.0
A wrapper for speedtest.net to get time-series data on local bandwidth availability.
License: MIT
Requires Python: >=3.6.0

bandwidth-monitor
=================
A wrapper for |speedtest|_ to get time-series data on local bandwidth
availability.

As a default, the scheduler will run hourly at the top of the hour and store
output in a local ``sqlite3`` database named ``bandwidth.db``.

Inspired by |@jsphWllng|_'s article `"Monitor your internet with python"
<https://pythonprogramming.org/monitor-your-internet-with-python/>`_.

Usage
=====

.. code-block:: bash

	$ pip install --user git+https://github.com/mburszley/bandwidth-monitor.git@main#egg=bandwidth-monitor
	$ python -m bandwidth_monitor

..
	a terrible hack: https://docutils.sourceforge.io/FAQ.html#is-nested-inline-markup-possible

.. |speedtest| replace:: ``speedtest.net``
.. _speedtest: https://www.speedtest.net/

.. |@jsphWllng| replace:: ``@jsphWllng``
.. _@jsphWllng: https://pythonprogramming.org/jsphwllng/
iobes 1.5.1
Iobes
License: MIT
Requires Python: >=3.6

-----
iobes
-----

.. image:: https://img.shields.io/pypi/v/iobes
    :target: https://pypi.org/project/iobes/
    :alt: PyPI Version
.. image:: https://github.com/blester125/iobes/workflows/Unit%20Test/badge.svg
    :target: https://github.com/blester125/iobes/actions
    :alt: Actions Status    
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black
    :alt: Code style: black
.. image:: https://readthedocs.org/projects/iobes/badge/?version=latest
    :target: https://iobes.readthedocs.io/en/latest/index.html
    :alt: Documentation Status

A light-weight library for creating span level annotations from token level decisions.

Details and an explaination on *why* you should use this library can be found in the `paper`_

.. _paper: https://arxiv.org/pdf/2010.04373.pdf

--------
Citation
--------

If you use this library in your research I would appreciate if you would cite the following:

.. code:: BibTex

    @article{lester-2020-iobes,
      title={iobes: A Library for Span-Level Processing},
      author={Lester, Brian},
      journal={arXiv preprint arXiv:2010.04373},
      year={2020},
      url={https://arxiv.org/pdf/2010.04373.pdf}
    }
tf-1.x-rectified-adam 0.0.2
RAdam implemented in Tensorflow 1.x
License: MIT

<h1 align="center">RAdam-Tensorflow</h1>
<h4 align="center">On the Variance of the Adaptive Learning Rate and Beyond</h5>

### [Paper](https://arxiv.org/abs/1908.03265) | [Official Pytorch code](https://github.com/LiyuanLucasLiu/RAdam)

## Usage
```python
from RAdam import RAdamOptimizer

train_op = RAdamOptimizer(learning_rate=0.001, beta1=0.9, beta2=0.999, weight_decay=0.0).minimize(loss)
```

## Algorithm
<div align="center">
  <img src="./assets/alg.png" height=417 width=687>
</div>


## Result
![result](./assets/result.png)

## Author
[Junho Kim](http://bit.ly/jhkim_ai)