Julia implementation of Tensor Logic.

Arithmetic with small and with very large rationals is made fast.

Fast bit-level operations.

IEEE P3109 compatible floating-point representations.

lightweight cross-platform allocation of aligned memory for an n-Vector{T} where isbitstype(T)

extended precision math, accurate and performant

These integer types use checked arithmetic, otherwise they are as system types.

Nanosecond resolution for Time and Date, TimeZones

Support for reading P3109 value tables stored as .csv files.

Create tables for AIFloats.jl

Floats that are markable, unmarkable and remarkable

Floats may be unmarked, marked or remarked without slowing computations.

An accurate and stable calculation of the angle separating two vectors.

The internal constructive model for P3109 conformant floats.

Julia interface to libflint NFloat NComplex types with special function, vector, and matrix support.

Float32x(significand::Float32, exponent::Int32) is a performant extended precision floating-point type

makes extended precision numbers readable

some utilities for working with NamedTuples

microfloats for machine learning

Simplifies the use of bitfields.

fork of PlutoEditorColorThemes with matcha.css added

Error-free transformations are used to get results with extra accuracy.