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Author:
Ville Kuosmanen
License:
MIT License
Copyright (c) 2025 Ville Kuosmanen
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated do...
Summary:
Tools for interpretability analysis of physical AI models, including sparse autoencoders and attention mapping
Latest version:
0.1.4
Required dependencies:
dataclasses
|
huggingface_hub
|
lerobot
|
numpy
|
opencv-python
|
pandas
|
robocandywrapper
|
safetensors
|
scipy
|
torch
|
tqdm
|
wandb
Optional dependencies:
black
|
flake8
|
isort
|
jupyter
|
matplotlib
|
mypy
|
plotly
|
pytest
|
pytest-cov
|
seaborn
|
sphinx
|
sphinx-rtd-theme
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