semvec/pypi-packages huggingface dataset:
here-here 1.1.14
Python package that replicates the R package called 'here'.
Requires Python: >=3.8

# Here

Python package that replicates the R package called "here".

## Overview

The `here` package provides utility functions to determine the root directory of your project and easily resolve paths relative to it. This is particularly useful for managing file paths when calling the code from shells that `cd` to other directories before executing the script.

## Features

- Determine the root directory of the current file working directory.
- Resolve paths relative to the root directory.
- Supports usage in Jupyter notebooks, .py scripts, and interactive Python shells.

## Installation

You can install the package using pip:

```bash
pip install here
```

## Example Usage

```python
# Get the file working directory
file_working_directory = get_file_working_directory()
print(f"File working directory: {file_working_directory}")

# Resolve a relative path using the here function
resolved_path = here("data/output")
print(f"Resolved path: {resolved_path}")
```


It works on both .py and .ipynb files!
nestedmapping 0.9.9
The package to work with nested dictionaries supporing list/set as keys
Requires Python: >=3.11

# Summary

[![python](https://img.shields.io/badge/python-3.11-purple.svg)](https://www.python.org/)
[![pipeline](https://git.jinr.ru/dag-computing/dictwrapper.py/badges/master/pipeline.svg)](https://git.jinr.ru/dag-computing/dictwrapper.py/commits/master)
[![coverage report](https://git.jinr.ru/dag-computing/dictwrapper.py/badges/master/coverage.svg)](https://git.jinr.ru/dag-computing/dictwrapper.py/-/commits/master)
<!--- Uncomment here after adding docs!
[![pages](https://img.shields.io/badge/pages-link-white.svg)](http://dag-computing.pages.jinr.ru/dictwrapper.py)
-->

* `NestedMapping` is a package to work with nested dictionaries
mlflow-cors 0.1.1
MLflow CORS extension for enabling cross-origin requests
Requires Python: >=3.9

# MLflow CORS Extension

A simple extension for MLflow that enables Cross-Origin Resource Sharing (CORS) support.

## Installation

You can install the package using pip:

```bash
pip install mlflow-cors
```

## Usage

The extension is automatically loaded when you start MLflow. No additional configuration is required.

To start MLflow with CORS support:

```bash
mlflow server
```

## Development

To install the package in development mode:

```bash
pip install -e .
```

## License

This project is licensed under the MIT License - see the LICENSE file for details.
ahdilaw 0.0.1.1
Plugin Library for Inertial Filters for Deep Convolutional Networks
Requires Python: >=3.7

Plugin Library for Inertial Filters for Deep Convolutional Networks
        Submitted by Labiba Shahab and Ahmed Wali in submission for the Deep Learning Coursework at the Lahore University of Management Sciences (LUMS) in Spring Offering 2025.
        
        Date: 2025-05-06 PKT