f32

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

maly - infinity mandelbrot explorer

Maximum safe nth Tribonacci number when stored in single-precision floating-point format.

Maximum safe nth double factorial when stored in single-precision floating-point format.

Maximum safe nth factorial when stored in single-precision floating-point format.

Maximum nth double factorial when stored in single-precision floating-point format.

Maximum nth factorial when stored in single-precision floating-point format.