semvec/pypi-packages huggingface dataset:
emotional-detection 0.1.3
Standalone package for capturing video from the webcam, detecting all faces in the video and then runing the DeepFace emotional classifier on each face. The output of the emotional classfications will be written as JSON to a Unix pipe to be consumed by any other process
Requires Python: >=3.9,<3.10

# Overview
This packages is a very basic script that captures video from the webcam, detects all faces in the video and then runs the DeepFace emotional classifier on each face. The output of the emotional classfications will be written to a Unix pipe to be consumed by any other process.

# Instructions
Everything is contained in `emotional_detection/main.py`. You simply install the dependencies and run. This project works out of the box with [poetry](https://python-poetry.org/), but you could install the dependencies using any dependency manager + virtual environment combination you choose.
sdt 1
Space Discord Tools
Keywords: python,discord,tool,toolpy


# Space Discord Tools

Now you can facilitate your work to make the best and easiest tool !!!

Developed by SpaceTeam (c) 2022

## Examples of How To Use

SmsSender

```python
import space_discord_tools

space_discord_tools.SmsSender('PHONE_NUMBER','THE_MESSAGE')
```

WebHookSpammer
```python
import space_discord_tools

space_discord_tools.WebHookSpammer('DISCORD_WEBHOOK_URL','YOUR_MESSAGE','YOUR_WEBHOOK_AVATAR_URL','YOUR_WEBHOOK_NICKNAME')
```

Check out: https://pypi.org/project/sdt/0.0.1/#description
saspt 0.4.0
State arrays for single particle tracking
Requires Python: >=3.6

# saspt

<img src="https://github.com/alecheckert/saspt/blob/main/doc/_static/logo.png" alt="alt text" width="300">

`saspt` is a tool for analyzing single particle tracking (SPT) experiments. It relies on *state arrays*, a class of variational Bayesian models that identifies
diffusing subpopulations in the presence of large measurement error.
It is particularly useful for complex samples with many subpopulations with distinct
dynamics.

See the [Documentation](https://saspt.readthedocs.io/en/latest/) for more info. 

See the `examples` directory for usage examples.

## Install

Method 1 (recommended): install from PyPI:
```
  pip install saspt
```

Method 2: install from source

```
  git clone https://github.com/alecheckert/saspt
  cd saspt
  pip install -e .
```
sdtpy 0.0.2
Space Discord Tools
Keywords: python,discord,tool,toolpy


# Space Discord Tools

Now you can facilitate your work to make the best and easiest tool !!!

Developed by SpaceTeam (c) 2022

## Examples of How To Use

SmsSender

```python
import sdt

sdt.SmsSender('PHONE_NUMBER','THE_MESSAGE')
```

WebHookSpammer
```python
import sdt

sdt.WebHookSpammer('DISCORD_WEBHOOK_URL','YOUR_MESSAGE','YOUR_WEBHOOK_AVATAR_URL','YOUR_WEBHOOK_NICKNAME')
```

Check out: https://pypi.org/project/sdt/0.0.1/#description
modern-python-template 1.2.0
The Hypermordern Python Project
Requires Python: >=3.7,<4.0

# Modern Python Template

[![Tests](https://github.com/vivekwisdom/modern-python-template/workflows/Tests/badge.svg)](https://github.com/vivekwisdom/modern-python-template/actions?workflow=Tests)

[![codecov](https://codecov.io/gh/vivekwisdom/modern-python-template/branch/main/graph/badge.svg?token=8SEKMGYU1X)](https://codecov.io/gh/vivekwisdom/modern-python-template)

[![PyPI](https://img.shields.io/pypi/v/modern-python-template.svg)](https://pypi.org/project/modern-python-template/)

[![Read the Docs](https://readthedocs.org/projects/modern-python-template/badge/)](https://modern-python-template.readthedocs.io/)

Modern Python Template

[Documentation available here](https://modern-python-template.readthedocs.io/)
dddg 0.1.2
dddg game solver
Requires Python: >=3.7,<3.11

# dddg
Machine Learning Ducky Labeling and dddg game solver.

![example](https://cdn.ionite.io/img/fIUvgt.jpg)

## Tldr how to use
```shell
pip install dddg
```
> `Usage: dddg [OPTIONS] URL`
```shell
dddg https://cdn.ionite.io/img/Rjj91N.jpg
0 5 11
1 3 10
4 7 9
2 5 9
3 6 7
6 9 10
1 4 6
```

## Introduction

Duck Duck Duck Goose (dddg) is a game whose objective is to
find all "schools" of ducks. A valid school is defined where
each duck can either have the same or different attributes.

![duck_e1](https://cdn.ionite.io/img/Rjj91N.jpg)

- Each card has 4 features
  - Color, Number, Hat, and Accessory
- A valid flight
  - 3 cards where each feature is either all same or all different
  - ![duck2](https://cdn.ionite.io/img/Lgy1TX.jpg)


## Requirements
- torch
- torchvision
- opencv-python
- requests
- webcolors

## Model

Description WIP

![training](https://cdn.ionite.io/img/l8frRh.jpg)
hcompressor 1.0.0
Hcompressor is a tool to compress files in HDFS
Requires Python: >=3.7
Keywords: hdfs,compression,decompression,hadoop

# Hcompressor
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)


> Hdfs files compression tool 




## Table of Contents
* [General Info](#general-information)
* [Technologies Used](#technologies-used)
* [Features](#features)
* [Setup](#setup)
* [Usage](#usage)
* [Room for Improvement](#room-for-improvement)
* [Contact](#contact)
<!-- * [License](#license) -->


## General Information

- This project is a simple tool to compress files stored in hdfs using the smart-open library
- It can be used to compress a single file or multiple files recursively in a directory
- The supported compression algorithms are: gzip, bz2, xz, zstd


## Technologies Used

- Python - versions 3.7, 3.8, 3.9
- smart-open - version 6.1.0
- zstandard - version 0.18.0


## Features

List the ready features here:
- Compress a file from hdfs using supported compression algorithms
- Lunch a compression benchmark on a single file


## Setup
To run this project, install it locally using pip:

```console
pip install hcompressor
```

## Usage
### For compression
```console
hcompressor -c <compression_type> <input-hdfs-path> <output-hdfs-path>
```
### For compression of files recursively in a directory
```
hcompressor  --recursive -c <compression_type> <input-hdfs-path> <output-hdfs-path>
```


### For decompression
```console
hcompressor  --recursive -c <compression_type>  --mode decompression <input-hdfs-path> <output-hdfs-path>
```


## Examples
```console
hcompressor -c zstd /tmp/compression-test/my_file.csv  /tmp/compression-test/
```
```
hcompressor --recursive -c zstd /tmp/compression-test/  /tmp/compression-test/
```
```
hcompressor --recursive --mode decompression -c zstd /tmp/compression-test/  /tmp/compression-test/
```

### For benchmarking multiple compression types on a single  file

```console
hcompressor --benchmark <compression_types> <input-path> <output-path>
```


## Room for Improvement
 
- Support for more compression types 
- Benchmarking on multiple compression types on single input
- Integration tests



## Contact
Created by [@cedkoffeto](https://github.com/cedkoffeto) - feel free to contact me!

## License 
> This project is open source and available under the [MIT License]()