Information and Materials Related to My NIH NIDA F32 Award
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Updated
Feb 28, 2026 - R
Information and Materials Related to My NIH NIDA F32 Award
Multisource-121-DomainNet is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify images into 121 domain categories using the SiglipForImageClassification architecture.
Evaluate the signum function for a single-precision floating-point number.
Experimental (unstable) “fast-math” wrappers for f32, f64
Maximum safe nth double factorial when stored in single-precision floating-point format.
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