semvec/pypi-packages huggingface dataset:
elo-rating 0.0.2
An implementation of Elo rating system for use in comparative crowdsourcing tasks
License: MIT
Requires Python: >=3.8
Keywords: Elo,Crowdsourcing,Ranking

# Reference implementation of Elo rating system 
[![Python package](https://github.com/hastinarimanzadeh/elo-rating/actions/workflows/python-package.yml/badge.svg)](https://github.com/hastinarimanzadeh/elo-rating/actions/workflows/python-package.yml)

## Installation
```bash
$ python -m pip install -U elo_rating
```
## Example Usage
```python
from elo_rating import Elo

e = Elo()
e.add_match("p1", "p2", 1.0, k=0.15)
e.add_matches([("p1", "p2", 1.0), ("p2", "p1", 0.5)], k=0.15)

e.ratings() # {"p1": 0.13363123747494593, "p2": -0.1336312374749459}
e.items() # ['p1', 'p2']
e.rankings() # {'p1': 0, 'p2': 1}

e.ranking('p1') # 0
e.rating('p1')  # 0.13363123747494593 
```
yolor 0.0.6
Packaged version of the Yolor repository
License: MIT
Requires Python: >=3.6
Keywords: machine-learning,deep-learning,pytorch,vision,image-classification,object-detection,yolox,yolov7,yolov6,yolo detector,yolov5

<div align="center">
<h2>
  Yolor-Pip: Packaged version of the Yolor repository  
</h2>
<h4>
    <img width="800" alt="teaser" src="doc/figure.png">
</h4>
<div>
    <a href="https://pepy.tech/project/yolor"><img src="https://pepy.tech/badge/yolor" alt="downloads"></a>
    <a href="https://badge.fury.io/py/yolor"><img src="https://badge.fury.io/py/yolor.svg" alt="pypi version"></a>
</div>
</div>

## <div align="center">Overview</div>

This repo is a packaged version of the [Yolor](https://github.com/WongKinYiu/yolor) model.
## Benchmark
| Model | Test Size | AP<sup>test</sup> | AP<sub>50</sub><sup>test</sup> | AP<sub>75</sub><sup>test</sup> | batch1 throughput | batch32 inference |
| :-- | :-: | :-: | :-: | :-: | :-: | :-: |
| **YOLOR-CSP** | 640 | **52.8%** | **71.2%** | **57.6%** | 106 *fps* | 3.2 *ms* |
| **YOLOR-CSP-X** | 640 | **54.8%** | **73.1%** | **59.7%** | 87 *fps* | 5.5 *ms* |
| **YOLOR-P6** | 1280 | **55.7%** | **73.3%** | **61.0%** | 76 *fps* | 8.3 *ms* |
| **YOLOR-W6** | 1280 | **56.9%** | **74.4%** | **62.2%** | 66 *fps* | 10.7 *ms* |
| **YOLOR-E6** | 1280 | **57.6%** | **75.2%** | **63.0%** | 45 *fps* | 17.1 *ms* |
| **YOLOR-D6** | 1280 | **58.2%** | **75.8%** | **63.8%** | 34 *fps* | 21.8 *ms* |
|  |  |  |  |  |  |  |
| **YOLOv4-P5** | 896 | **51.8%** | **70.3%** | **56.6%** | 41 *fps* (old) | - |
| **YOLOv4-P6** | 1280 | **54.5%** | **72.6%** | **59.8%** | 30 *fps* (old) | - |
| **YOLOv4-P7** | 1536 | **55.5%** | **73.4%** | **60.8%** | 16 *fps* (old) | - |
|  |  |  |  |  |  |  |
### Installation
```
pip install yolor
```

### Yolov6 Inference
```python
from yolor.helpers import Yolor

model = Yolor(cfg='yolor/cfg/yolor_p6.cfg', weights='yolor/yolor_p6.pt', imgsz=640, device='cuda:0')

model.classes = None
model.conf = 0.25
model.iou_ = 0.45
model.show = False
model.save = True

model.predict('yolor/data/highway.jpg')
```
### Citation
```bibtex
@article{wang2021you,
  title={You Only Learn One Representation: Unified Network for Multiple Tasks},
  author={Wang, Chien-Yao and Yeh, I-Hau and Liao, Hong-Yuan Mark},
  journal={arXiv preprint arXiv:2105.04206},
  year={2021}
}
```
mypydot 2023.0.1
Python package to manage your dotfiles
License: MIT
Requires Python: >=3.11.1,<4.0.0
Keywords: mypydot,dotfiles,python

[![PyPI version](https://badge.fury.io/py/mypydot.svg)](https://badge.fury.io/py/mypydot)
![CI](https://github.com/andres-ortizl/mypydot/actions/workflows/main.yml/badge.svg)
[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=mypydot&metric=coverage)](https://sonarcloud.io/summary/new_code?id=mypydot)
[![Bugs](https://sonarcloud.io/api/project_badges/measure?project=mypydot&metric=bugs)](https://sonarcloud.io/summary/new_code?id=mypydot)

## Mypydot

Mypydot is a tool created for managing your dotfiles using a Python application

## Showcase

small screenshots of the application

|                                           |                                         |
|-------------------------------------------|-----------------------------------------|
| ![Home](screenshots/home.png)             | ![selection](screenshots/selection.png) |
| ![Installing](screenshots/installing.png) | ![Bye](screenshots/bye.png)             |

# Motivation

I just wanted the basic functionality to manage my own dotfiles. I decided to do it in Python because It seems more
natural
to me rather than do It using shell scripting.

## Install

```pip install mypydot```

## Instructions

### Create new dotfiles

Using it for the first time : ```mypydot``` . This command will create a new folder called .mypydotfiles
in your $HOME directory. In this folder you will find the following folder structure :

| Folder     |                                                                                                                               |
|------------|-------------------------------------------------------------------------------------------------------------------------------|
| `language` | In case you want to save some dotfiles related with your favourite programming languages                                      |
| `os`       | Operating system dotfiles                                                                                                     |
| `shell`    | Small setup of aliases and exports that can be accessed from everywhere                                                       |
| `config`   | Docker, Git, Editors, etc. You can also find here a few almost empty scripts for storing your aliases, exports and functions. |
| `conf.yml` | This file contains every file that you want to track in your dotfiles repository, feel free to add & remove symlinks !        |

Once you run this process you will notice that you have a few new lines your .bashrc and in your .zshrc

```
export MYPYDOTFILES=/Users/username/.mypydotfiles
source $MYPYDOTFILES/shell/main.sh
```

This lines will be used to source yours aliases, exports and functions to be available in your terminal.
Besides that, nothing else is edited.

### Resync dotfiles

Select your existing conf file and the modules you want to resync / install

# References

https://github.com/mathiasbynens/dotfiles

https://github.com/CodelyTV/dotly

https://github.com/denisidoro/dotfiles

https://github.com/webpro/awesome-dotfiles

Thank you!