Comments (4)
See docs/examples/nir for notebooks documenting functionality and testing. Currently works for single neuron loading example, writing the model back is a work in progress.
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Working on getting the weight scaling to function properly.
- Get weight scaling working so that loaded models function properly
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Importing models is now supported but is likely somewhat brittle. Will require further testing. Export capabilities started but limited to FFN for now, rest is a work in progress.
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This needs formal tests included into the library before closing this issue.
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Related Issues (20)
- Add Type Checking via Chex
- Add Phasor layers/network capability HOT 1
- Implement EXODUS algorithm
- Adjust Neuron Models in spyx.nn to store constant betas as hk.params
- Make AEStream example
- Support for latency-based spike coding
- Find way to do dataloading without torchvision HOT 1
- Shuffling utility has returns leading axis zer0 HOT 1
- Investigate Pallas to implement faster neurons? HOT 2
- Add shape checking to Accuracy and Loss functions
- Create optimize utility/quick train and eval loop
- Implement Synthetic Gradients
- AttributeError: module 'spyx.axn' has no attribute 'Axon' HOT 3
- Spyx SHD Paper benchmark needs reviewed
- Add SPSN HOT 3
- Write test cases for CI/CD
- Refactor dataloading to not require torchvision. HOT 1
- Improve Documentation
- Add Spiking-RWKV layer to support SpikeGPT architectures HOT 4
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