precision

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

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

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

An optimized handwritten digit recognition model delivering exceptional accuracy, high-speed performance, and compatibility with low-end hardware, supported by comprehensive documentation, experiment tracking, data-driven decision-making, effective troubleshooting, and a modular project structure.

Apache Commons Numbers

Training with FP16 weights in PyTorch

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"