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Hi there!
I am very happy with dada2! I do have a suggestion for improvement of the documentation. I think it would be very helpful to explain a bit more about the formatting of custom databases. E…
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Viewing "Domain" can have delays associated with it, especially if the book has more than 200 sequences. And viewing "Condensed Domain" is typically even worse in terms of waiting. Furthermore, I've…
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Thank you for your work on this. The TODO file llists as "DONE" the item "Make calculator memory persistent between executions." Using an apk successfully built from source per your instructions, I in…
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Hi,
Thanks for the great work and for sharing the well-written code. I want to train a model on my own video with similar configurations as done in the paper. I wonder if you use the default config…
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Hello,
Thank you for developing and maintaining Pheniqs, I'm excited to try it in a number of data processing workflows. Would you be able to provide some pointers on how/if Pheniqs's PAMLD decode…
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When the number of separators is not the same in all labels, labels which have **more** separators have their last part dropped silently and any label which becomes a duplicate because of this is drop…
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Hi @siddharth-sharma7
Thank you for providing fast-bart. It has made my life much easier.
I find the bart-onnx-quantized model 2-3x faster than the Pytorch model. However, when the sequence le…
ghost updated
2 years ago
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[Dynamical decoupling](https://mitiq.readthedocs.io/en/stable/guide/ddd.html) is more effective when the pulses (or gates) take into account the duration of each gate. Our implementation assumes that …
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Thanks for providing the code. It made replication very smooth.
I find the use of n_positions vs n_ctx inconsistent and I am wondering whether this is a bug. What was the motivation to have these …
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I found when data max length more than 1024, I have to cut otherwise the forward would throw an exception....