Search Results for "floating point"
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Showing 148 open source projects for "floating point"
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fast_float
Implementation of the C++ from_chars functions for number types
...In our experience, these fast_float functions many times faster than comparable number-parsing functions from existing C++ standard libraries. It parses the character sequence [first,last) for a number. It parses floating-point numbers expecting a locale-independent format equivalent to the C++17 from_chars function. The resulting floating-point value is the closest floating-point value (using either float or double), using the "round to even" convention for values that would otherwise fall right in between two values. That is, we provide exact parsing according to the IEEE standard. -
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Roots.jl
Root finding functions for Julia
...The default is Bisection, for most floating point number types, employed in a manner exploiting floating point storage conventions. For other number types (e.g. BigFloat), an algorithm of Alefeld, Potra, and Shi is used by default. These default methods are guaranteed to converge. Other bracketing methods are available. -
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MoneyPHP
PHP implementation of Fowler's Money pattern
...It provides a robust framework for handling currency calculations, formatting amounts, and managing different currency types. The library ensures that financial transactions and calculations are handled accurately without floating-point errors, making it ideal for financial applications and e-commerce platforms. -
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RubyMoney
A Ruby Library for dealing with money and currency conversion
RubyMoney is a widely adopted Ruby library that provides a robust and precise way to represent and manipulate monetary values in software applications. It is designed around the principle that financial calculations must avoid floating point errors, and therefore represents values internally as integers in the smallest currency unit, such as cents. The library introduces a Money class that encapsulates both the numeric value and the associated currency, ensuring that operations are always context-aware and accurate. It also includes a Money::Currency class that stores metadata such as currency codes, symbols, and formatting rules, enabling consistent handling of international currencies. ... -
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Krylov.jl
A Julia Basket of Hand-Picked Krylov Methods
If you use Krylov.jl in your work, please cite it using the metadata given in CITATION.cff. -
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half
C++ library for half precision floating point arithmetics.
This is a C++ header-only library to provide an IEEE-754 conformant half-precision floating point type along with corresponding arithmetic operators, type conversions and common mathematical functions. It aims for both efficiency and ease of use, trying to accurately mimic the behaviour of the builtin floating point types at the best performance possible. It automatically uses and provides C++11 features when possible, but stays completely C++98-compatible when neccessary. -
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AIMET
AIMET is a library that provides advanced quantization and compression
...Plus, an 8-bit model also has a 4x smaller memory footprint relative to a 32-bit model. However, often when quantizing a machine learning model (e.g., from 32-bit floating point to an 8-bit fixed point value), the model accuracy is sacrificed. -
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Oboe
Oboe is a C++ library that makes it easy to build high-performance
...It abstracts device and API-version differences so developers can focus on audio processing instead of platform quirks. The library emphasizes minimal latency and glitch-free playback/recording via tuned buffer strategies and callback-driven I/O. It supports features like floating-point audio, channel configuration, sample-rate negotiation, and stream sharing to match device capabilities. Example apps and utilities demonstrate best practices for thread priority, audio mixing, and underrun handling. By aligning with the native audio stack, oboe enables professional music apps, real-time communications, and games to achieve consistent audio performance across a wide range of devices. -
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xManager
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...There are no current plans to natively support Windows, MacOS, Linux, etc. Android devices have CPUs. Merged is a combination of Armeabi-v7a and Arm64-v8a architecture. Armeabi-v7a is the modern arch that supports floating point operations, and a multi-threading safe is used on multi-cpu devices. It is also 32-bit. If you are determined to run this on a non-android device then fire up an Android emulator. -
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RawTherapee
A powerful cross-platform raw photo processing program
RawTherapee is a powerful, cross-platform raw photo processing application targeted at enthusiast and semi-professional photographers who want deep control over image development. It’s written primarily in C++ with a GTK+ front-end, providing a high-precision 32-bit floating-point processing engine along with multiple demosaicing algorithms and advanced color-management features. The program supports a very wide range of camera raw formats (via a patched version of dcraw) as well as non-raw formats such as JPEG, TIFF, and PNG. Users can work non-destructively: adjustments are previewed but stored separately (sidecar files) and only applied during export, which allows experimentation without altering originals. ... -
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Lunatik
Lunatik is a framework for scripting the Linux kernel with Lua
Lunatik is a framework for scripting the Linux kernel with Lua. It is composed by the Lua interpreter modified to run in the kernel; a device driver (written in Lua =)) and a command line tool to load and run scripts and manage runtime environments from the user space; a C API to load and run scripts and manage runtime environments from the kernel; and Lua APIs for binding kernel facilities to Lua scripts. -
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SymPy
A computer algebra system written in pure Python
...Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously improved. A lot more people have also contributed to it, and used it in their projects. Beyond being an interactive tool, it can be embedded in other apps and extended with custom functions. -
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. It provides tools for experimenting with different quantization strategies, enabling developers to balance accuracy and efficiency depending on their application. The framework integrates directly with PyTorch workflows, making it accessible for researchers and engineers already familiar with the ecosystem. ... -
14
Brick\Math
Arbitrary-precision arithmetic library for PHP
...It is designed to overcome the limitations of PHP’s native number handling, especially for applications dealing with large numbers, financial calculations, or scientific computations. Brick Math complies with standards like IEEE 754 and avoids rounding errors inherent to floating-point arithmetic. -
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Money
Go implementation of Fowler's Money pattern
GoMoney provides ability to work with monetary value using a currency's smallest unit. This package provides basic and precise Money operations such as rounding, splitting and allocating. Monetary values should not be stored as floats due to small rounding differences. -
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stress-ng
This is the stress-ng upstream project git repository.
This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces. stress-ng was originally intended to make a machine work hard and trip hardware issues such as thermal overruns as well as operating system bugs that only occur when a system is being thrashed hard. Use stress-ng with caution as some of... -
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Transformer Engine
A library for accelerating Transformer models on NVIDIA GPUs
Transformer Engine (TE) is a library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference. TE provides a collection of highly optimized building blocks for popular Transformer architectures and an automatic mixed precision-like API that can be used seamlessly with your framework-specific code. -
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Dinero.js
Create, calculate, and format money in JavaScript and TypeScript
Dinero.js is a JavaScript and TypeScript library designed to safely represent, calculate, and format monetary values in applications where precision and correctness are critical. It addresses the limitations of native number handling in JavaScript, which can lead to rounding errors and inaccuracies when working with currency. The library provides an immutable data structure for representing money, ensuring that operations such as addition, subtraction, and conversion do not introduce... -
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decimal.js
An arbitrary-precision Decimal type for JavaScript
decimal.js is a JavaScript library that provides an arbitrary-precision decimal data type designed to overcome the limitations of native floating-point arithmetic in JavaScript. It allows developers to perform accurate calculations with numbers of virtually unlimited precision, making it especially useful for financial, scientific, and high-precision applications. Unlike standard JavaScript numbers, which can produce rounding errors due to binary representation, decimal.js ensures consistent and predictable results by operating on decimal values directly. ... -
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Brick\Money
A money and currency library for PHP
Brick\Money is a PHP library designed to provide precise and reliable handling of monetary values using arbitrary-precision arithmetic, ensuring accuracy in financial calculations of any scale. Built on top of the brick/math library, it avoids floating point errors by using exact decimal representations, making it suitable for applications where correctness is critical, such as accounting and financial services. The library supports ISO 4217 currency standards and includes comprehensive tools for working with currency units, conversions, and rounding strategies. It is designed to handle large numbers and complex operations without loss of precision, which is essential for enterprise-level financial systems. ... -
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Swift Numerics
Advanced mathematical types and functions for Swift
Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics in Swift. API design follows Swift’s emphasis on value semantics and protocol-oriented programming, enabling compiler optimizations and predictable performance. ... -
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Elastiknn
Elasticsearch plugin for nearest neighbor search
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity searches using exact and approximate algorithms. Methods like word2vec and convolutional neural nets can convert many data modalities (text, images, users, items, etc.) into numerical vectors, such that pairwise distance computations on the vectors correspond to semantic similarity of the original data. Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills the... -
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Zerocopy
Zerocopy makes zero-cost memory manipulation effortless
Zerocopy is a Rust library designed to make zero-cost memory manipulation both safe and effortless. It allows developers to reinterpret or convert raw byte sequences into structured types—and vice versa—without writing unsafe code directly. The crate provides safe abstractions for transmuting data while preserving Rust’s strict safety guarantees, removing the need for manual memory manipulation. Zerocopy introduces a suite of conversion traits such as TryFromBytes, FromBytes, IntoBytes, and... -
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XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch... -
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Double Conversion
Efficient binary-decimal & decimal-binary conversion routines for IEEE
Double Conversion is a high-performance C++ library that provides precise and efficient binary-decimal and decimal-binary conversion routines for IEEE 754 double-precision floating-point numbers. Originally extracted from the V8 JavaScript engine, it was refactored into a standalone library to make its robust number conversion algorithms easily reusable in other projects. The library ensures consistent and accurate results for converting between double values and their string representations, avoiding rounding errors and performance bottlenecks common in standard conversion routines. ...
