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.
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