Name | torchxlstm JSON |
Version |
0.0.3
JSON |
| download |
home_page | None |
Summary | A pure pytorch implementation of xLSTM. |
upload_time | 2024-05-28 12:41:50 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3 |
license | None |
keywords |
xlstm
lstm
torch
pytorch
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# xLSTM
A pure pytorch implementation of the [XLSTM paper](https://arxiv.org/abs/2405.04517).
## TODO
- Ensure correct with paper
- Create some usage examples
- Implement paralleization
- CUDA?
- Allow for different initializations according to: https://pytorch.org/docs/stable/nn.init.html
- Allow for flattening of x for greater shape conformity
- Allow for batching
- Add tests
- https://github.com/catid/audio_prediction/tree/master
- other classic RNN/LSTM tasks
## References
- https://arxiv.org/abs/2405.04517
- https://discuss.pytorch.org/t/causal-convolution/3456/3
- https://pytorch.org/docs/stable/generated/torch.nn.RNN.html
- https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html
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