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This report was focused on classifying song genres given musical data about the song. The project used a 300GB dataset from the Million Song Dataset. The project has clear benefits of improving music …
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Current implementation of RFECV selects the number of features that achieve optimal score (e.g., accuracy, r2).
This can lead to a greedy behavior and i feel it would be useful to have a "One-standar…
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[Re-active Learning: Active Learning with Relabeling](https://www.cs.washington.edu/ai/pubs/lin-aaai16.pdf)
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@handwerkerd processed a block design dataset with MEICA and tedana and saw some differences in the resulting denoised time series. This issue is a place-holder to remember to document this better and…
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## Description
I generated calibration cache for Vision Transformer onnx model using EntropyCalibration2 method. When trying to generate engine file using cache file for INT8 precision using trte…
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Hi @YuanGongND ,
Thank you for the great work. I am trying to use the AST model for extracting embeddings for audio events of 1s.
To begin with, i started to play around with https://github.com/Yu…
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Would be good to have the equivalent of a typical ordinal logistic regression model as a possible loss for multi-class classification: https://en.wikipedia.org/wiki/Ordinal_regression
In short, thi…
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Are there any metrics available to measure shap explainability for a prediction
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Tests at https://preview.catalogue.life/
Master view: http://dev4.species.id:9191/col_plus/
taxonomic databases 163
living species 1,858,113
extinct species 38,292
infraspecific living taxa 15…