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Vectorized, differentiable computation of evolutionary models supporting different computation backends.

Project description

evoten

Find the documentation here.

Vectorized computation of tree likelihoods.

Features

  • Supports multiple models
  • Highly parallel, processes trees in layers, models and input examples are treated in parallel
  • Multiple compute backends (TensorFlow, pytorch)

Installation

For users:

git clone https://github.com/felbecker/evoten
cd evoten
pip install -e .[tensorflow]  # or [torch] for pytorch backend

For developers:

pip install -e .[tensorflow,torch,docs]

Minimal example

See here.

Project details


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