semvec/pypi-packages huggingface dataset:
BGISimtool 0.1
A package to process or manage simulations for the CERN BGIs.
License: MIT

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|

==========
BGISimtool
==========


    This package is here to help with all data processing and pre-processing
    related to simulations of Beam Gas Ionisation (BGI) profile monitor at CERN.


BGISimtool full description will come later.


.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.1.4. For details and usage
information on PyScaffold see https://pyscaffold.org/.
features-PPGsignal 0.0.1
extract features of the photoplethysmographic signal
License: MIT
Keywords: PPG siganl

features_PPGsignal
===================

The feature extracting package of the photoplethysmographic signal (features_PPGsignal) is a tools library that helps the 
feature extraction of the photoplethysmographic signal


It contains four python files

>> Signal_processing.py file that contains the functions for the pre-editing of the PPG signal

>> Geometric_features.py that implements the geometrical features of the PPG signal

>> Hrv_features.py that implements features related to heart rate variability

>> Statistical_features.py that implements the static features of PPG signal

Change Log
==========

0.0.1 (17/03/2022)
------------------
- First Release
pycounts-hu 0.2.0
Calculate word counts in a text file!
License: MIT
Requires Python: >=3.9,<4.0

# pycounts_hu

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts_hu
```

## Usage

`pycounts` can be used to count words in a text file and plot results
as follows:

```python
from pycounts.pycounts import count_words
from pycounts.plotting import plot_words
import matplotlib.pyplot as plt

file_path = "test.txt"  # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`pycounts_hu` was created by Hu Zhao. It is licensed under the terms of the MIT license.

## Credits

`pycounts_hu` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
pcfv 0.0.19
The common used function with pytorch for vision tasks
License: MIT
Requires Python: >=3.7

# pcfv: Pytorch Commonly used Function for Vision tasks

During my work on vision tasks, there are functions be needed again and agin. To make it easier when switching between projects, the most commonly used functions are summarized here. It could save some effort starting a new pytorch project for CV researches.

This packsge provides classic models like [UNet](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/), [MSDNet](https://www.pnas.org/content/115/2/254) and some common functions like [train_loop](https://github.com/jiayangshi/pcfv/blob/23f517e3c6dfc2281381b0b69ac5d8e2eb029767/pcfv/train.py#L6).