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Author:
Daniel Kushnir
License:
MIT
Summary:
Layered, architecture-agnostic interpretability comparison of time-series foundation models
Latest version:
1.0.0
Required dependencies:
jinja2
|
numpy
|
pandas
|
plotly
|
pyarrow
|
pyyaml
|
scikit-learn
|
scipy
|
torch
|
tqdm
|
zarr
Optional dependencies:
chronos-forecasting
|
timesfm
|
tsfm-benchmark
|
umap-learn
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