PyTorch-Probing is a framework for probing PyTorch models internal functioning.
Project description
PyTorch Probing
Python module for creating and using probes with PyTorch modules.
This project was developed as part of the Cognitive Architectures research line from the Hub for Artificial Intelligence and Cognitive Architectures (H.IAAC) of the State University of Campinas (UNICAMP). See more projects from the group here.
Repository Structure
- src: pytorch_probing source code
- docs: documentation files
- examples: examples of usage (see the documentation)
- test: test codes
Installation / Usage
Installation
-
Installing using pip:
pip install --upgrade pip pip install pytorch_probing
-
For installing from the repository:
git clone https://github.com/H-IAAC/pytorch_probing cd pytorch_probing pip install --upgrade pip pip install .
Usage
See the documentation for usage and examples.
Citation
Quando existente, fornecer o Bibtex para citação do(s) artigo(s) publicados referentes ao desenvolvimento desse projeto.
TODO Subir no Zenodo
Authors
- (2024-) EltonCN : M. Eng. student, FEEC-Unicamp
Acknowledgements
This project is part of the Hub for Artificial Intelligence and Cognitive Architectures (H.IAAC- Hub de Inteligência Artificial e Arquiteturas Cognitivas). We acknowledge the support of PPI-Softex/MCTI by grant 01245.013778/2020-21 through the Brazilian Federal Government.
Licence
Copyright 2024 H.IAAC
Licensed under the GNU LESSER GENERAL PUBLIC LICENSE, Version 3 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.gnu.org/licenses/lgpl-3.0.html
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
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