Modular End-to-End Network (MoNet)

Code implementation of the paper, 'Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity' accpeted in ICML 2024.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
tools		tools
README.md		README.md
__init__.py		__init__.py
data_seperation.py		data_seperation.py
dataloader.py		dataloader.py
eval.py		eval.py
eval_RSM.py		eval_RSM.py
eval_RSM_learning_curve.py		eval_RSM_learning_curve.py
eval_RSM_learning_curve_noPlan.py		eval_RSM_learning_curve_noPlan.py
eval_decision_prior.py		eval_decision_prior.py
eval_decoder.py		eval_decoder.py
eval_decoder_sample.py		eval_decoder_sample.py
eval_sensorimotor_process.py		eval_sensorimotor_process.py
eval_tsne.py		eval_tsne.py
learner.py		learner.py
matplot_selector.py		matplot_selector.py
modules.py		modules.py
plot_learning_curves.py		plot_learning_curves.py
train.py		train.py
transformer.py		transformer.py
utils.py		utils.py

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