semvec/pypi-packages huggingface dataset:
tapi-wrapper 2021.2.20
Python API client generator
License: MIT
Requires Python: >=3.5
Keywords: tapi,wrapper,api

# Tapi-Wrapper
![Supported Python Versions](https://img.shields.io/static/v1?label=python&message=>=3.5&color=red)
[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/vintasoftware/tapioca-wrapper/master/LICENSE)
[![Downloads](https://pepy.tech/badge/tapi-wrapper)](https://pepy.tech/project/tapi-yandex-metrika)
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>

Tapioca helps you generating Python clients for APIs.
APIs wrapped by Tapioca are explorable and follow a simple interaction pattern that works uniformly so developers don't need to learn how to use a new coding interface/style for each service API.


### Api examples
[Yandex Metrika API](https://github.com/pavelmaksimov/tapi-yandex-metrika)

[Yandex Direct API](https://github.com/pavelmaksimov/tapi-yandex-direct)


### Installed
    pip install tapi-wrapper==2021.2.20


### Help
[Телеграм](https://t.me/pavel_maksimow),
[Facebook](https://www.facebook.com/pavel.maksimow)

### Authors
The author of this modification Pavel Maksimov
___
Powered by [Tapioca-Wrapper](https://github.com/vintasoftware/tapi-wrapper)

Copyright (c) 2013-2015 Vinta Software
HAL-9000 4.0.0
A Deep Learning framework
License: MIT
Keywords: neuralnetworks

HAL_9000 may not be the best deep learning framework, but it is a deep learning framework.

To install the library:

    pip install HAL-9000

Workflow of this framework is inspired by Tensorflowâ€™s Keras.

As of now, HAL_9000 offers:

7 different variants of NNs:

    -> Perceptron
    -> Multilayer Perceptron
    -> Dense Net
    -> Conv Net
    -> Vanilla RNN
    -> LSTM
    -> DQN

Several regularization methods:

    -> Batch Norm
    -> Layer Norm
    -> Dropout

Optimizers:

    -> Adam
    -> RMS prop
    -> SGD
    
for more info and examples, visit: https://github.com/kumar-harin/HAL_9000

Change Log
==========

4.0.0 (23/02/2021)
-------------------
- Fourth Release