CapsLayer: An advanced library for capsule theory
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Updated
Jan 21, 2022 - Python
CapsLayer: An advanced library for capsule theory
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
A PyTorch Implementation of Matrix Capsules with EM Routing
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
Deep Matrix Capsules Implementation
CapsNet implementations with PyTorch.
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
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