semvec/pypi-packages huggingface dataset:
hbschr-sampleproject 0.0.1
A sample Python project
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
dynamic-kobo 0.0.4
Replace / update / redeploy KoBo forms
Requires Python: >=3.7, <4
Keywords: KoBo

# dynamic-kobo
[![PyPI Latest Release](https://img.shields.io/pypi/v/dynamic-kobo)](https://pypi.org/project/dynamic-kobo/)

Replace / update and redeploy KoBo forms.

Developed by Karla Peña Ramírez, packaged by [Jacopo Margutti](https://github.com/jmargutt).

## Requirements
1. [Python >= 3.7](https://www.python.org/downloads/)
2. [Firefox](https://www.mozilla.org/en-US/firefox/new/)
2. [Geckodriver](https://github.com/mozilla/geckodriver)

## Set up
1. Download and install [Firefox](https://www.mozilla.org/en-US/firefox/new/)
2. Download the geckodriver binary for your platform ([here](https://github.com/mozilla/geckodriver/releases))
3. Install dynamic-kobo from [PyPI](https://pypi.org/project/dynamic-kobo/)

```pip install dynamic-kobo```


## Usage
```
Usage: replace-redeploy [OPTIONS]

  replace KoBo form with a new one and redeploy

Options:
  --config            path to configuration file (.env)
  --headless          run headless (no GUI)
  --koboserver TEXT   URL of KoBo server
  --username TEXT     username
  --password TEXT     password
  --formid TEXT       form (asset) ID
  --newform TEXT      absolute path to new form (.xlsx)
  --geckodriver TEXT  absolute path to geckodriver binary
  --help              show this message and exit
  ```
N.B. all options can be stored in a `.env` file, the script will load them automatically as environment variables. Example:
```
GECKODRIVER=C:\geckodriver\geckodriver.exe
KOBO_SERVER=https://kobo.humanitarianresponse.info/
USERNAME=...
PASSWORD=...
FORM_ID=ai3sdfC1GnERTW72rwwSFq
NEW_FORM='C:\forms\new-form.xlsx'
```
wpe-gpu 0.1.0
GPU-accelerated Nara WPE in CuPy
Keywords: speech enhancement gss

# Nara-WPE in CuPy

This package is modified from the core parts of [nara_wpe](https://github.com/fgnt/nara_wpe) 
and modifies it to use [CuPy](https://github.com/cupy/cupy) for accelerated GPU-based inference.

At the moment, it is meant to be used with the [GSS](https://github.com/desh2608/gss) toolkit, 
but it can also be used in general for dereverberation. Note that this package only
contains the parts of Nara WPE that are relevant for GSS.

## Installation

```bash
> pip install cupy-cuda102  # modify according to your CUDA version (https://docs.cupy.dev/en/stable/install.html#installing-cupy)
> pip install wpe-gpu
```

## Usage

```python
from wpe import wpe
import cupy as cp

X = cp.random.rand(513, 4, 1000)    # F, D, T
X_hat = wpe(X, taps=10, delay=2, iterations=3, psd_context=0)   # F, D, T
```
feather-creator 0.0.3
motif-TG .feather files creation and motifs-TF mapping from a list

# feather_creator

Allows creation of .feather file to use in the pyscenic pipeline from motifs and gene sequences.

### Dependencies

+ `pip install numpy` version 1.19.5
+ `pip install biopython` version 1.73
+ `pip install pyarrow` version 0.16.0
+ `pip install pandas`
+ `pip install tqdm` 

using pip environment
+ `python3 -m venv feather_creator_env`
+ `source feather_creator_env/bin/activate`
+ `python3 -m pip install -r requirements.txt`

### Installation:

TODO : ajouter sur pypi
`pip install feather_creator`

### Tutorials:



### Material

This module relies on the `iRegulon` dataset, which has also been used for `i-cistarget`.

   http://iregulon.aertslab.org/collections.html#motifcolldownload

Direct download link for the motif collection:

   https://resources.aertslab.org/papers/iregulon/motifColl-10k-all-public.tar.gz

(Janky and Verfaillie et al., PLoS Comp Biol 2014) 

Necessary motif-TF association file:

   https://resources.aertslab.org/cistarget/motif2tf/
windML 0.3.8
WindML
Keywords: python,extreme learning machine,direct feedback alignment,matrix factorisation,ml,machine learning,rnn,transformer,numpy,lite

Refreshingly Lightweight Machine Learning (using only numpy). models include conditional-character-RNN, Transformer and a Direct Feedback Alignment NN and other one-shot models like extreme learning machines or matrix factorisation retrieval-based classifiers (for a model-free alternative)