A tool for modeling and optimization of anaerobic digestion process.

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  • Author: ParsaGhadermazi
  • Requires: Python >=3.11
  • Provides-Extra: blackbox , dashboard , genetic , optimize , surrogate
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Project description

Toolbox Overview

Parsa Ghadermazi parsa96@colostate.edu

AD Toolbox is developed in Chan Lab at Colorado State University. The main goal of this toolbox is to provide the tools that are useful for modeling and optimization of anaerobic digestion process.

Interested in trying ADToolbox? Run the notebooks on Binder or Colab:

Binder Open In Colab PyPI version

NOTE:Binder implementations don't offer escher map functionalities yet.

ADToolbox comes with a detailed documentation website. You can access this website using the link below:

** Full Documentation Here **

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Parsa6626 from gravatar.com Parsa6626

Unverified details

These details have not been verified by PyPI
Meta
  • Author: ParsaGhadermazi
  • Requires: Python >=3.11
  • Provides-Extra: blackbox , dashboard , genetic , optimize , surrogate
Classifiers

Release history Release notifications | RSS feed

1.1.15

1.1.13

1.1.12

1.1.11

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

This version

1.1.2

1.1.1

1.1.0

1.0.0

0.6.18

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0.5.26

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0.5.0

0.4.0

0.3.0

0.2.0

0.1.0

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