precision 开源项目推荐（539 个）

shopspring /decimal

Arbitrary-precision fixed-point decimal numbers in Go

toshas /torch-fidelity

High-fidelity performance metrics for generative models in PyTorch

johnmcfarlane /cnl

A Compositional Numeric Library for C++

egtwobits /mesh_mesh_align_plus

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

Alexhuszagh /rust-lexical

Fast numeric to- and from-string conversion routines.

eobermuhlner /big-math

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

AstraZeneca /rexmex

A general purpose recommender metrics library for fair evaluation.

clovaai /generative-evaluation-prdc

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

guillaumegenthial /tf_metrics

Multi-class metrics for Tensorflow

tpoisonooo /ROGRAG

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

JuliaMath /DoubleFloats.jl

更优质的数学

royNiladri /js-big-decimal

在客户端高精度处理大数。

Dominik-Workshop /electronic-load

Digitally controlled electronic load, 2022

verificarlo /verificarlo

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

uncodead /BrewUNO

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

mauriciopoppe /interval-arithmetic

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

aliasgharebrahimi /MNISTVision

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

Apache Commons Numbers

suvojit-0x55aa /mixed-precision-pytorch

Training with FP16 weights in PyTorch

tvhahn /ml-tool-wear

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"