semvec/pypi-packages huggingface dataset:
rsaes 0.0.2
RSA + AES cryptography algorithms
Requires Python: >=3.6

pip install rsa<br>
pip install PyCryptoDomex<br>

1. Import modules<br>

import rsa<br>
from rsaes import rsaes<br>

2. Creat RSA PublicKey and PrivateKey<br>

pb, pv = rsa.newkey(1024)<br>

3. Encrypt data<br>

cd, ck = rsaes.encrypt(b'Hello', pb)<br>

4. Decrypt data<br>

data = rsaes.decrypt(cd, ck, pv)<br>

Used when encrypting large amounts of data using RSA and AES algorithms<br>

My telegram: https://t.me/sidqdev<br>
By sidq with love<br>
rsaes-SIDQ 0.0.6
RSA + AES cryptography algorithms
Requires Python: >=3.6

pip install rsa<br>
pip install PyCryptoDomex<br>

1. Import modules<br>

import rsa<br>
import rsaes<br>

2. Creat RSA PublicKey and PrivateKey<br>

pb, pv = rsa.newkey(1024)<br>

3. Encrypt data<br>

cd, ck = rsaes.encrypt(b'Hello', pb)<br>

4. Decrypt data<br>

data = rsaes.decrypt(cd, ck, pv)<br>

Used when encrypting large amounts of data using RSA and AES algorithms<br>

My telegram: https://t.me/sidqdev<br>
By sidq with love<br>
evaluations 0.0.5
The library for models evaluation
Requires Python: >=3.6

# Evaluations
[![PyPI version](https://badge.fury.io/py/evaluations.svg)](https://badge.fury.io/py/evaluations)

* The library implements various metrics for evaluating machine learning algorithms


## Table of contents
- [How to use](#how-to-use)
- [Installation](#installation)
  - [PyPI](#pypi)
- [Documentation](#documentation)
- [Authors](#authors)


## How to use

```
>>> from evaluations.classification import confusion_matrix_binary
>>> confusion_matrix_binary([1, 1, 0, 0], [1, 0, 0, 1])
{'tp': 1, 'tn': 1, 'fp': 1, 'fn': 1}
```

## Installation

### PyPI
You can use pip to install evaluations:
```
pip install evaluations
```
You can clone and install the latest version of the library from GitHub:
```
pip install -U git+https://github.com/yisaienkov/evaluations
```

## Documentation
The full documentation is available at [https://evaluations.readthedocs.io/](https://evaluations.readthedocs.io/).

## Authors
[Yaroslav Isaienkov](https://www.linkedin.com/in/yisaienkov/)