Comments (2)
Work in progress here: https://github.com/bjkomer/pytorch-legendre-memory-unit
Thanks @bjkomer!
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Here is another implementation (linked from nengo/lmu#1): https://github.com/AbdouJaouhar/LMU-Legendre-Memory-Unit
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Related Issues (20)
- phased_lstm_keras problem? add_weight () got multiple values for argument 'name' HOT 3
- acc -> accuracy HOT 6
- Support sequences with irregular time-steps
- allow_growth to permit parallel notebook kernels? HOT 2
- The Mackey Glass experiment seems to be predicting the past HOT 1
- Remove/replace LMUCellODE and LMUCellGating HOT 1
- Upgrade to TensorFlow 2 HOT 2
- mackey-glass problem with LMU giving out the error with the recent updates of keras-lmu 0.2.0 and 0.3.0 versions HOT 6
- AttributeError: 'LMUFFT' object has no attribute 'kernel' HOT 2
- Signatures in docs are *args, **kwargs which hides all default values
- LMU allows the input to have ndim>3 (and then fails later)
- Register LMUCell with Keras
- Support stateful=True on the LMU (and other RNN flags) HOT 2
- Opting in to supports_masking
- Error when loading model with tf.keras.models.load_model HOT 2
- Feature - parallel training HOT 3
- `LMUFFT` cannot be created if `hidden_cell` is `Dense` HOT 1
- Legendre memory unit (LMU) for normal MNIST
- Please expand time series prediction examples HOT 3
- Paths to DropoutRNNCellMixin and BaseRandomLayer not found (keras-lmu 0.7.0) HOT 1
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