Search Results for "multiplication"
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Showing 18 open source projects for "multiplication"
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The... -
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decimal
Arbitrary-precision fixed-point decimal numbers in go
...Note: Decimal library can "only" represent numbers with a maximum of 2^31 digits after the decimal point. The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal performance. This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. ... -
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AQL
Advanced Query Language
.../ Logical regular expression matches /- Split string by regular expression /+ Replace by regular expression // All matches = Assignment + Addition or concatenation - Subtraction / Division * Multiplication -
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AlphaTensor
AI discovers faster, efficient algorithms for matrix multiplication
AlphaTensor, developed by Google DeepMind, is the research codebase accompanying the 2022 Nature publication “Discovering faster matrix multiplication algorithms with reinforcement learning.” The project demonstrates how reinforcement learning can be used to automatically discover efficient algorithms for matrix multiplication — a fundamental operation in computer science and numerical computation. The repository is organized into four main components: algorithms, benchmarking, nonequivalence, and recombination. ... -
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currency.js
A javascript library for handling currencies
...It achieves this by internally representing values as integers, which allows for accurate calculations even when dealing with decimals. The library provides a simple and intuitive API for performing operations such as addition, subtraction, multiplication, and division on monetary values. It is optimized for performance and minimal footprint, making it ideal for applications where bundle size and speed are important considerations. currency.js also includes formatting capabilities, allowing developers to display currency values in user-friendly formats with customizable symbols and separators. ... -
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CrypTen
A framework for Privacy Preserving Machine Learning
...Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data. -
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Tensor Algebra Compiler
The Tensor Algebra Compiler (taco) computes sparse tensor expressions
...TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and tensor formats like CSR and COO as well as specialized formats like CSF. Under the hood, TACO employs a novel compiler-based technique to generate kernels that are optimized for the computations you want to perform. ... -
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JThread - a OO, Java like threading library for C++ ! System independent OO architecture for thread and synchronising classes - separates between operating system independent interfaces and dependent implementations.
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Gutenberg Typography Kit
A meaningful web typography starter kit
...Gutenberg sets the baseline grid to establish a proper vertical rhythm and makes sure all elements fit into it. It sets up the macro typography so you can focus on the micro–typographic details. All calculations in Gutenberg depend on base type size and line-height. Multiplication of these two results in leading which is essential for setting a correct vertical rhythm and a baseline grid. -
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This application assists in generating pre-compositional material based on a computational interpretation of the 'Schillinger System of Musical Composition' (Schillinger 1946).
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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matrix.h
Some basic matrix algorithms implemented in C
This is a collection of some matrix algorithms like matrix inverse, LU decomposition, Gauss elimination, matrix multiplication, matrix pow, matrix add, matrix subtract etc. This package also contains debugging information for the above algorithms -
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NTmatrix C++ Matrix Class
A C++ matrix class for easy matrix manipulation
A C++ matrix class for creating matrix objects and easily performing elementary operations between matrix objects including addition, subtraction, multiplication, transposition, and trace. -
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Blackspirit Graphics
A cross-platform Java 2D graphics library using OpenGL.
A hardware accelerated Java 2D graphics library designed for cross-platform games, providing a powerful but simple interface. It focuses on real-time applications but can also be integrated into graphical user interfaces. The implementation uses JOGL (OpenGL). -
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Tester2 is simple test framework for functional testing of server applications (j2ee: jms, ejb, tibco, oracle, file, custom). Its tests are command driven, does not need any knowledge of programming.
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Aim is to develop a library of utility functions to efficiently simulate division, multiplication, mod, finding first 1/0 bit etc. (using shift and add/subtract) for software development on low cost dsp systems lacking these.
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TBigNum is a new number type for Delphi and Pascal. TBigNum can handle with over 2 millions digits, supports commas/points, all number systems of 2-255 and most types of calculation (addition, subtraction, multiplication, division, exponents and roots).
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