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Copyright 2026 CortexLab Contributors
This project is a derivative work built upon TRIBE v2 by Meta Platforms, Inc.
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TRIBE v2
Copyright (c) Meta Platforms, Inc. and affiliates.
Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
https://github.com/facebookresearch/tribev2
The following source files in this repository are derived from TRIBE v2:
- src/cortexlab/core/model.py (modified: added return_attn, compile_backbone)
- src/cortexlab/data/loader.py (original: tribev2/utils.py)
- src/cortexlab/data/transforms.py (original: tribev2/eventstransforms.py)
- src/cortexlab/data/fmri.py (original: tribev2/utils_fmri.py)
- src/cortexlab/data/studies/* (original: tribev2/studies/*)
- src/cortexlab/training/experiment.py (original: tribev2/main.py)
- src/cortexlab/training/pl_module.py (original: tribev2/pl_module.py)
- src/cortexlab/inference/predictor.py (original: tribev2/demo_utils.py)
- src/cortexlab/viz/* (original: tribev2/plotting/*)
The pretrained model weights are hosted by Meta at:
https://huggingface.co/facebook/tribev2
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neuralset (v0.0.2)
Copyright (c) Meta Platforms, Inc. and affiliates.
Licensed under CC BY-NC 4.0
neuraltrain (v0.0.2)
Copyright (c) Meta Platforms, Inc. and affiliates.
Licensed under CC BY-NC 4.0
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Third-party dependencies and their licenses:
PyTorch (torch) - BSD 3-Clause
Transformers - Apache 2.0
HuggingFace Hub - Apache 2.0
x_transformers - MIT
einops - MIT
NumPy - BSD 3-Clause
pandas - BSD 3-Clause
PyYAML - MIT
MoviePy - MIT
gTTS - MIT
langdetect - Apache 2.0
spaCy - MIT
SoundFile - BSD 3-Clause
julius - MIT
pydantic - MIT
requests - Apache 2.0
tqdm - MIT / MPL 2.0
SciPy - BSD 3-Clause
nilearn - BSD 3-Clause
MNE-Python - BSD 3-Clause
PyVista - MIT
matplotlib - PSF / BSD
PyTorch Lightning - Apache 2.0
Weights & Biases - MIT
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LLaMA 3.2-3B (used as text feature extractor by the pretrained TRIBE v2 model)
Copyright (c) Meta Platforms, Inc.
Licensed under the Meta Llama 3.2 Community License Agreement
https://llama.meta.com/llama3_2/license/
Users must independently accept Meta's LLaMA license to use the pretrained
TRIBE v2 model for text feature extraction. CortexLab does not redistribute
LLaMA weights.
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