semvec/pypi-packages huggingface dataset:
pydel 0.5.3
Parser for Synthstrom Audible Deluge song files
License: MIT

# pydel

Python module for parsing [Synthstrom Audible Deluge](https://synthstrom.com/product/deluge/) song files.

## Usage

1. Install [pip](https://pip.pypa.io/en/stable/installing/).

2. Install pydel:
```
pip install pydel
```
youku-upload 0.1.1
Upload videos to Youku from the command line
License: MIT
Requires Python: >=3.6

# youku-upload
Upload videos to Youku from the command line

# Install
`pip install youku-upload`

# Usage

`youku-upload --client-id YOUR-CLIENT-ID  --access-token YOUR-ACCESS-TOKEN file-to-upload.mp4`

More command arguments, please check:

```
usage: youku-upload [-h] --client-id CLIENT_ID --access-token ACCESS_TOKEN
                    [--title TITLE] [--tags TAGS] [--description DESCRIPTION]
                    [--copyright-type COPYRIGHT_TYPE]
                    [--public-type PUBLIC_TYPE] [--category CATEGORY]
                    [--watch-password WATCH_PASSWORD]
                    FILE [FILE ...]

Upload videos to Youku from the command line

Before you use this tool, you should create your application at https://cloud.youku.com/app

Youku support these formats: 
    wmv,avi,dat,asf,rm,rmvb,ram,mpg,mpeg,3gp,mov,mp4,m4v,
    dvix,dv,dat,mkv,flv,vob,ram,qt,divx,cpk,fli,flc,mod

positional arguments:
  FILE                  file to upload

optional arguments:
  -h, --help            show this help message and exit
  --client-id CLIENT_ID
                        application client id
  --access-token ACCESS_TOKEN
                        access token
  --title TITLE         2-50 characters, default is file name
  --tags TAGS           1-10 tags joined with comma
  --description DESCRIPTION
                        less than 2000 characters
  --copyright-type COPYRIGHT_TYPE
                        'original' or 'reproduced', default is 'original'
  --public-type PUBLIC_TYPE
                        'all' or 'friend' or 'password'
  --category CATEGORY   
                        default is 'Others', options contains:
                        TV => 电视剧
                        Movies => 电影
                        Variety => 综艺
                        Anime => 动漫
                        Music => 音乐
                        Education => 教育
                        Documentary => 纪实
                        News => 资讯
                        Entertainment => 娱乐
                        Sports => 体育
                        Autos => 汽车
                        Tech => 科技
                        Games => 游戏
                        LifeStyle => 生活
                        Fashion => 时尚
                        Travel => 旅游
                        Parenting => 亲子
                        Humor => 搞笑
                        Wdyg => 微电影
                        Wgju => 网剧
                        Pker => 拍客
                        Chyi => 创意视频
                        Zpai => 自拍
                        Ads => 广告
                        Others => 其他
  --watch-password WATCH_PASSWORD
                        if --public-type is password

```
pymed-iplweb 0.8.10
Python library for access to PubMed
License: MIT
Keywords: PubMed PMC

PyMed-iplweb - PubMed Access through Python
===========================================


.. image:: https://img.shields.io/pypi/v/pymed-iplweb.svg
        :target: https://pypi.python.org/pypi/pymed-iplweb

.. image:: https://img.shields.io/travis/mpasternak/pymed-iplweb.svg
        :target: https://travis-ci.org/mpasternak/pymed-iplweb?branch=master

PyMed is a Python library that provides access to PubMed through the
PubMed API. This is a fork, maintained by https://IPLweb.pl

Why this library?
-----------------

The PubMed API is not very well documented and querying it in a
performant way is too complicated and time consuming for researchers.
This wrapper provides access to the API in a consistent, readable and
performant way.

Features
--------

This library takes care of the following for you:

-  Querying the PubMed database (with the standard PubMed query
   language)
-  Batching of requests for better performance
-  Parsing and cleaning of the retrieved articles

Examples
--------

For full (working) examples have a look at the ``examples/`` folder in
this repository. In essence you only need to import the ``PubMed``
class, instantiate it, and use it to query:

.. code:: python

   from pymed import PubMed
   pubmed = PubMed(tool="MyTool", email="my@email.address")
   results = pubmed.query("Some query", max_results=500)

Notes on the API
----------------

The original documentation of the PubMed API can be found here: `PubMed
Central <https://www.ncbi.nlm.nih.gov/pmc/tools/developers/>`__. PubMed
Central kindly requests you to:

   -  Do not make concurrent requests, even at off-peak times; and
   -  Include two parameters that help to identify your service or
      application to our servers

      -  *tool* should be the name of the application, as a string value
         with no internal spaces, and
      -  *email* should be the e-mail address of the maintainer of the
         tool, and should be a valid e-mail address.

Notice of Non-Affiliation and Disclaimer
----------------------------------------

The author of this library is not affiliated, associated, authorized,
endorsed by, or in any way officially connected with PubMed, or any of
its subsidiaries or its affiliates. The official PubMed website can be
found at https://www.ncbi.nlm.nih.gov/pubmed/.
eve-mli 0.1.0
eve-mli: making learning interesting.
License: MIT
Requires Python: >=3.6

<center>
<img src="images/logo.png" width="37" height="52" alt="logo" />
</center>

# eve-mli: making learning interesting

![GitHub last commit](https://img.shields.io/github/last-commit/densechen/eve-mli) [![Documentation Status](https://readthedocs.org/projects/eve-mli/badge/?version=latest)](https://eve-mli.readthedocs.io/en/latest/?badge=latest) [![PyPI](https://img.shields.io/pypi/v/eve-mli)](https://pypi.org/project/eve-mli) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/eve-mli)](https://pypi.org/project/eve-mli)

Eve is an open-source deep learning framework used to devise and modify a network architecture in a flexible and interesting way.

We provide several jupyter notebooks under `./examples` to demonstrate how to build various network structures.

The most features of Eve are that: it provides a well defined framework which make your network structure can be upgraded along with the learning of weights.

**Any contributions to Eve is welcome!**

## Installation

Install from [PyPI](https://pypi.org/project/eve-mli/):

```bash
pip install eve-mli
# pip install git+git@github.com:densechen/eve-mli.git
```

Developers can download and install the latest version from:

[GitHub](https://github.com/densechen/eve-mli):

```bash
git clone https://github.com/densechen/eve-mli.git
cd eve-mli
python setup.py install
```

[Gitee](https://gitee.com/densechen/eve-mli.git):

```bash
git clone https://gitee.com/densechen/eve-mli.git
cd eve-mli
python setup.py install
```


Vailidate installation:

```bash
python -c "import eve; print(eve.__version__)"
```

## About the project

The documentation can be found [here](https://eve-mli.readthedocs.io).
(Auto-building of documentation fails sometimes, you can build it manually via ```cd docs; make html```).

The project remains in development. We encourage more volunteers to come together!

**The first official version of eve-mli will be released very soon.**

## About the authors

[Dengsheng Chen](https://densechen.github.io)
Master @ National University of Defense Technology
densechen@foxmail.com

## References

[PyTorch](https://github.com/pytorch/pytorch)

[stable-baselines3](https://github.com/DLR-RM/stable-baselines3)

[spikingjelly](https://github.com/fangwei123456/spikingjelly)

[Model-Compression-Deploy](https://github.com/666DZY666/Model-Compression-Deploy)