torchhd

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Can the parameters of the trained model of onlineHD be quantized into binary?

1

After training, I get a trained onlineHD model, but the model is very large when saved. Can I reduce the model size by quantizing the model into binary?

yinchen1233

Ensure that all the code works as expected with `torch.compile`. It would be good to include this in the unit tests as well.

mikeheddes

Implement the Generic Sparse Block Codes (GSBC)

1

Hello. Thank you for the excellent Python module. This issue potentially relates to #153. The paper "Factorizers for Distributed Sparse Block Codes" describes the Generalized Sparse Block Code (GSBC). Instead...

anthonykasza

In the paper "LeHDC: Learning-Based Hyperdimensional Computing Classifier," the authors provide the following default parameters for the MNIST image recognition task: lr = 0.01, weight_decay = 0.05, dropout_rate = 0.5....

yby0313