Arbitrary-precision fixed-point decimal numbers in Go

High-fidelity performance metrics for generative models in PyTorch

A Compositional Numeric Library for C++

Precisely align, move, and measure+match objects and mesh parts in your 3D scenes.

Fast numeric to- and from-string conversion routines.

Advanced Java BigDecimal math functions (pow, sqrt, log, sin, ...) using arbitrary precision.

A general purpose recommender metrics library for fair evaluation.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Multi-class metrics for Tensorflow

[ACL2025 demo track] ROGRAG: A Robustly Optimized GraphRAG Framework

math with more good bits

Work with large numbers on the client side with high precision.

Digitally controlled electronic load, 2022

High precision and accuracy, open source, online, extensible and low cost homebrew automation on top of ESP8266 microchip.

An implementation of an algebraically closed interval system of the extended real number set

A tool for debugging and assessing floating point precision and reproducibility.

Training with FP16 weights in PyTorch

Apache Commons Numbers

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

A library providing math and statistics operations for numbers of arbitrary size.