precision

Arbitrary-precision fixed-point decimal numbers in go

A Compositional Numeric Library for C++

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

High-fidelity performance metrics for generative models in PyTorch

Lexical, to- and from-string conversion routines.

Multi-class metrics for Tensorflow

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

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

math with more good bits

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

Training with FP16 weights in PyTorch

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

Magento2. Rounding Price to Prettier Value for Multi-Currency Stores.

Object Detection Evaluation Tools

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

Number types and utilities

linear algebra for tensors with symbolic and numeric scalars

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

Portability Environment for Fortran poor people

Python implementation of ROUGE

Code for testing the native float16 matrix multiplication performance on Tesla P100 and V100 GPU based on cublasHgemm

Advanced Developer Async Programming Toolkit

An object oriented arbitrary precision arithmetic library for PHP

machine learning framework for node.js

AssemblyScript library for arbitrary-precision decimal arithmetic.

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

A library for arbitrary precision decimal floating point arithmetic.

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"

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador