semvec/pypi-packages huggingface dataset:
lovelyfi 0.0.1
This is automatic wifi handler tool for particularly LPU wifi.
Requires Python: >=3.7

# LovelyFi - Command line tool for Lovely Professional University Wi-Fi

[![Say Thanks!](https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg)](https://saythanks.io/to/0x0is1)
![Version](https://img.shields.io/badge/Version-0.0.1-red)

This tool is made for in-campus use for premises of LPU and neigboring. Not for external use.

## Step to install
```sh
$ python -m pip install lovelyfi
```

## Run
```sh
# To Connect
$ lovelyfi connect

# To Disconnect
$ lovelyfi disconnect

# To configure username or password
$ lovelyfi config
```

## Requirements
* Python (>3.7)

## Platforms supported
* Windows
* Linux
* Mac
EasyMLSelector 0.1.0
Training and Testing for a set of scikit-learn models in one go.
Requires Python: >=3.7

## EasyMLSelector
```
    pip install EasyMLSelector
```
    * A class for training and testing many models found in sklearn.
    * Training and Testing for a large number of ML models in one go.
    * NOTE: Works best with type_filter="regressor"
    * Best Used with a small dataset to begin an investigation into the best models for your data.

### Don't know what kind of model is going to best suit your data?
```
    from EasyMLSelector import EasyMLSelector
```

### It's as easy as taking your X and y data and using these 2 commands
```
    M = EasyMLSelector(type_filter="regressor", Xy_tuple=(X,y))
    M.model_loop()
```

#### Then toy around with the best performing model:
```
    M.test_best()
```
```
    M.best_model
```
filterimage 0.1.2
Python package for my filterimage.
Requires Python: >=3

# relevantpackage

[![Python](https://img.shields.io/pypi/pyversions/relevantpackage)](https://img.shields.io/pypi/pyversions/relevantpackage)
[![Pypi](https://img.shields.io/pypi/v/relevantpackage)](https://pypi.org/project/relevantpackage/)
[![LOC](https://sloc.xyz/github/erdogant/relevantpackage/?category=code)](https://github.com/erdogant/relevantpackage/)
[![License](https://img.shields.io/badge/license-MIT-green.svg)](https://github.com/erdogant/relevantpackage/blob/master/LICENSE)
[![Forks](https://img.shields.io/github/forks/erdogant/relevantpackage.svg)](https://github.com/erdogant/relevantpackage/network)
[![Issues](https://img.shields.io/github/issues/erdogant/relevantpackage.svg)](https://github.com/erdogant/relevantpackage/issues)
[![Project Status](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active)

---------

### Install relevantpackagefrom PyPI.
```bash
pip install relevantpackage
```

#### Example
```python
  # Import library
  from relevantpackage import Relevantpackage
  # Initialize
  model = Relevantpackage(message='Hello World')
  # Run the model
  model.show()
```