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Showing 14 open source projects for "multiplication"
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MatMul-Free LM
Implementation for MatMul-free LM
MatMul-Free LM is an experimental implementation of a large language model architecture designed to eliminate traditional matrix multiplication operations used in transformer networks. Since matrix multiplication is one of the most computationally expensive components of modern language models, the project explores alternative computational strategies that reduce hardware requirements while maintaining comparable performance. The architecture relies on quantization-aware training and lightweight operations to replace conventional dense matrix multiplications with more efficient alternatives. ... -
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Book1_Python-For-Beginners
The Iris Book: Addition, Subtraction, Multiplication, and Division
Book1_Python-For-Beginners is the introductory volume of the Visualize-ML series, designed to teach Python programming to newcomers with no prior coding experience. The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support... -
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Book3_Elements-of-Mathematics
From Addition, Subtraction, Multiplication, and Division to ML
Book3_Elements-of-Mathematics is an open learning resource in the Visualize-ML collection that introduces core mathematical foundations required for modern data science and AI. The repository presents topics such as algebra, calculus fundamentals, and mathematical reasoning using a highly visual and beginner-friendly approach. Its goal is to reduce the intimidation barrier often associated with formal mathematics by combining diagrams, structured explanations, and applied examples. The... -
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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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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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Tux Math Scrabble
12÷16×3=9÷4
Latest version 0.9.1 runs on Python3. Date: June 15, 2023 Online/touch-screen version: https://www.asymptopia.com/tuxmathscrabble Encourages kids to construct compound equations and consider multiple abstract possibilities. -
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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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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. ... -
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Spectral-SpecPro
Spectral - software for manipulating optical spectroscopy data
Spectral-SpecPro helps with the manipulation of optical spectroscopy data. Spectral takes files produced by Jasco instruments (uv-vis absorbance, fluorescence, circular dichroism readings as a function of wavelength, temperature, or time) and facilitates basic operations such as unit conversion (CD spectra), conversion into the format taken by CDPro (estimation of secondary structure; CD spectra), scatter correction (absorbance spectra), smoothing, re-sampling of the x-axis, and generic... -
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Multiplication Station
Grid based multiplication, add, sub including (-)ve #s
Multiplication Station will teach your child to add, subtract and multiply. All parameters configurable, like grid size and number ranges fonts and colors. Countdown timer keeps attention focused. High scores too. -
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Coreculator
Advanced Desktop Calculator (The Most Advanced) with More Functions
...[Operators] + Addition - Subtraction / Division * Multiplication // Floor Division (Round and without Decimals) ** Exponentiation % Modulos cc.pow(X, Y) X to the Power of Y cc.sqrt(X) Square root of X cc.ceil(X) Ceiling of X (X is a number e.g 18) cc.fabs(X) Absolute value of X cc.factorial(X) Factorial of X cc.floor(X) Floor of X cc.acos(X) Cosine of X cc.asin(X) Arc S -
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SRCalc
An accessible calculator designed for Microsoft Windows Systems.
SRCalc is an accessible calculator for Microsoft Windows, with the purpose to make an accessible advanced calculator. Now the application is very simple, but the main idea is extends your functionality. SRCalc supports jaws and NVDA screen readers, providing shorcuts to the more important functions and modifying some GUI elements for the screen readers. -
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EnKoDeur-Mixeur (EKD) is an open source software which makes videos, pictures and audio post-production. It can be also used to convert videos in many formats. It is written in python and use the PyQt4 bindings.
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This project is to create a game similar to Whack-A-Mole that is used for OLPC XOs. It will be educational by quizzing children on their multiplication tables while they play.
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