Arbitrary-precision fixed-point decimal numbers in Go

High-fidelity performance metrics for generative models in PyTorch

Multi-class metrics for Tensorflow

A Compositional Numeric Library for C++

Apache Commons Numbers

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

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

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

Fast numeric to- and from-string conversion routines.

math with more good bits

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

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

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

A general purpose recommender metrics library for fair evaluation.

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"

This is a simple python example to recreate classification metrics like F1 Score, Accuracy

Portability Environment for Fortran poor people

Training with FP16 weights in PyTorch

Digitally controlled electronic load, 2022