LSTNet Implementation #173
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Added conv1 custom args and placeholder for GRU model
WIP, added layer args. GRU still needs to be implemented
Debugging reshape sizing with Linear ODE notebook. Fixed imports for new module.
Moved GRU and Skip GRU to skip_gru.py. Implemented SkipGRU. Added SkipGRU and ResNet to LSTNet.
Fixed bug that attempted to reshape over None dimension when training offline. Updated build() for both modules. Condensed comments in lstnet.
Added new kwargs retrieval method in lstnet.py and skip_gru.py
Tuned default arguments for both LSTNet and SkipGRU. Condensed arithmetic in SkipGRU.
Removed gru.py since keras has it's own implementation
stefanradev93
approved these changes
Jun 13, 2024
stefanradev93
merged commit 2f87322
into
bayesflow-org:streamlined-backend
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Implementation of LSTNet as provided in:
Y. Zhang and L. Mikelsons, Solving Stochastic Inverse Problems with Stochastic BayesFlow, 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seattle, WA, USA, 2023, pp. 966-972, doi: 10.1109/AIM46323.2023.10196190.