semvec/pypi-packages huggingface dataset:
alpfore 0.1.6
Active Learning Pipeline For Optimal Ranking Estimation
License: MIT
Requires Python: <4.0,>=3.7
Keywords: active learning, molecular simulation, machine learning

# ALPineFOREst

**A**ctive **L**earning **Pipel**ine **For** **Optima**l **Ranking Estimation**

[![PyPI version](https://badge.fury.io/py/alpfore.svg)](https://pypi.org/project/alpfore/)

ALPineFOREst is a flexible, modular framework for conducting large-scale active learning campaigns in scientific and materials research. It supports molecular dynamics (MD)-based evaluations, customizable models (e.g., Gaussian Processes), and popular Bayesian optimization strategies like Thompson Sampling — all within a high-throughput, reproducible pipeline.

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## Installation

Install via PyPI:
```
pip install alpfore
```
Or to install from source:
```
git clone https://github.com/nherringer/ALPineFOREst.git
cd ALPineFOREst
pip install -e .
```