implicit-layers

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mcbal / deep-implicit-attention

Implementation of deep implicit attention in PyTorch

deep-learning transformers artificial-intelligence neural-networks boltzmann-machines attention-mechanism associative-memory statistical-physics ising-spin-models mean-field-theory hopfield-networks implicit-layers deep-equilibrium-models

Updated Aug 2, 2021
Python

boschresearch / trajectory_games_learning

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This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit layers" published at AAAI 2021

paper bcai implicit-layers multiagent-trajectories paper-resource

Updated Feb 8, 2021
Python

jseluis / silva-networks

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SILVA Networks is a Python package for extended deep equilibrium layers, fixed-point solvers, implicit differentiation, structured operators, diagnostics, and reproducible research notebooks.

python machine-learning deep-learning reproducible-research pytorch computational-neuroscience graph-neural-networks research-software scientific-machine-learning implicit-differentiation neural-odes implicit-layers deep-equilibrium-models differentiable-optimization fixed-point-methods

Updated Aug 12, 2026
Jupyter Notebook

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