semvec/pypi-packages huggingface dataset:
proca-3 0.0.1
Python module that calculates Lipinsky descriptors, predicts pIC50 and performs docking

This is a simple platform for computing Lipinsky's Rule of five using the rdkit package, predicting pIC50 of canonical SMILES that are potential targets against Oestrogen receptor alpha protein as ant-prostate cancer agaents using apreformatted RandomForest model, and docking of the canonical SMILE with the Oestrogen receptor alpha protein using Audodock Vina package.
x-epi 0.0.3
A package for creating EPI sequences for X-Nuclues imaging
Requires Python: <3.10

<p align="center">
      <img src="docs/source/static/x_epi_logo.png" alt="drawing" width="250"/>
</p>

**x_epi** is a Python package for creating EPI sequences for X-nucleus imaging. It uses the [PyPulseq](github.com/imr-framework/pypulseq) package to create vendor neutral sequences in the [Pulseq](pulseq.github.io) format. 

Users can create a custom EPI sequence using python functions, a command line program, or a simple graphical user interface. Please see the [documentation](https://x-epi.readthedocs.io) for more details.

[![Documentation Status](https://readthedocs.org/projects/x-epi/badge/?version=latest)](https://x-epi.readthedocs.io/en/latest/?badge=latest)
MonotoneScheme 0.0.14
Python wrapper for C++ codes for the monotone scheme for curvature motion PDEs
Requires Python: >=3.6

# Monotone schemes for solving curvature motion PDEs

## by Jeff Calder (UMN)  and Wonjun Lee (UMN)

- Paper: [arXiv](.)
- Jeff Calder: [website](https://www-users.cse.umn.edu/~jwcalder/)
- Wonjun Lee: [website](https://wonjunee.github.io)

---
# Outline
This repository contains c++ and python codes for running the monotone algorithm to solve curvature motion PDEs. Here are list of PDEs that can be solved using this algorithm.

### Eikonal equation
$$ |\nabla u(x)| = f(x), \quad x \in \Omega $$
$$ x = 0, \quad x \in \partial \Omega $$

### Mean curvature PDE
$$ |\nabla u(x)|\kappa(x) = f(x), \quad x \in \Omega $$
$$ x = 0, \quad x \in \partial \Omega $$
where $\kappa(x) = - \text{div}\left( \frac{\nabla u}{|\nabla u|} \right)$ is the mean curvature of the level set surface of $u$ passing through $x$.

### Tukey Depth
$$ |\nabla u(x)| = \int_{(y-x)\cdot \nabla u(x) = 0} \rho(y) dS(y), \quad x \in \Omega.$$



---
# Tutorial

## Prerequisites

- `pip`
- `python >= 3.6`

Follow this link to see the instruction for the installation of `pip`: [https://pip.pypa.io/en/stable/installation/](https://pip.pypa.io/en/stable/installation/).


## Installing the package

First install the package by running the following command:
```
    pip install MonotoneScheme
```

(TO BE CONTINUED)
cookyjar 0.0.6
Streamlit component that allows you to do work with cookies
Requires Python: >=3.9

# streamlit-custom-component

Streamlit component that allows you to do X

## Installation instructions

```sh
pip install cookyjar
```

## Usage instructions

```python
import streamlit as st

from cookyjar import cookyjar

cookies = cookyjar()

st.write(value)
```