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Author:
Jacob Schreiber
Summary:
A light-weight deep learning architecture that uses modern optimization tricks to achieve strong predictive performance.
Latest version:
0.3.0
Required dependencies:
bam2bw
|
bpnet-lite
|
h5py
|
lightning
|
macs3
|
modisco
|
numpy
|
pandas
|
scikit-learn
|
scipy
|
seaborn
|
tangermeme
|
torch
|
tqdm
|
triton
Optional dependencies:
furo
|
sphinx
|
sphinx-copybutton
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