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PyPolo

PyPolo is a Python library for informative planning and learning.

I am still completing the documentation. If you feel like building PyPolo together, please don't hesitate to drop me an email: chenweiz@iu.edu!

Features

  1. Minimum dependency → painless algorithm prototyping and education → Robot Operating System (ROS).
  2. Readable code, detailed documentation, interactive tutorials → easier understanding of the algorithms.
  3. Modular implementation → develop new algorithm in the module of your interest.

Installation

Requirements:

  • Python >= 3.6
  • PyTorch >= 1.10.2 (NumPy included)
  • Matplotlib
conda create -n pypolo python=3.8
conda activate pypolo
pip install -e .

Metadata

Release files for pypolo 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for pypolo 0.0.3
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Table of built distributions (wheels) for pypolo 0.0.3
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pypolo-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 62.4 kB

Release files / pypolo-0.0.3.tar.gz

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0.0.3 This release

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