matrix-decompositions

There are 78 repositories under matrix-decompositions topic.

  • recp/cglm

    📽 Highly Optimized 2D / 3D Graphics Math (glm) for C

    Language:C2.4k52188240

  • RubixML/Tensor

    A library and extension that provides objects for scientific computing in PHP.

    Language:PHP235122428
  • Tiger

    hosseinmoein/Tiger

    C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

    Language:C++1168427

  • cascala/galileo

    Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

    Language:Scala7113117

  • LingDong-/Loshu.js

    A linear algebra library for JavaScript 🔢

    Language:JavaScript47305

  • planetis-m/manu

    Nim MAtrix NUmeric package

    Language:Nim42392

  • MNoorFawi/curlora

    The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.

    Language:Jupyter Notebook39311

  • mohamed82008/DifferentiableFactorizations.jl

    Differentiable matrix factorizations using ImplicitDifferentiation.jl.

    Language:Julia30181

  • harshraj11584/Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix

    [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

    Language:Jupyter Notebook282121

  • kunegis/konect-toolbox

    Octave/Matlab toolbox for network analysis – part of the KONECT project by Jérôme Kunegis, University of Namur

    Language:MATLAB255516

  • closest-git/GSS

    best CPU/GPU sparse solver for large sparse matrices

    Language:C20203

  • priyankshah7/hypers

    hypers: hyperspectral data structure, data analysis and machine learning

    Language:Python203610

  • biolab/orange3-datafusion

    🍊 :link: Data fusion add-on for Orange3

    Language:Python1618718

  • kunegis/konect-handbook

    Handbook of Network Analysis – part of the KONECT project by Jérôme Kunegis

    Language:TeX14434

  • fchen365/epca

    Exploratory Principal Component Analysis

    Language:R11222

  • anuesseler/pycsd

    python interface for using lapack cosine-sine decomposition

    Language:Fortran9200

  • jenetics/lattices

    Library for multidimensional data structures and matrices

    Language:Java92143
  • Katya-

    sorydima/Katya-

    🌈 AI Brilliance: Katya® now boasts an advanced artificial intelligence brain, enhancing user experiences like never before. With unparalleled learning capabilities, Katya® adapts to user preferences, making every interaction personalized and efficient. Say hello to a smarter, more intuitive social experience! 🔗 Social Blockchain Integration: 👀

    Language:Dart9404

  • masatoi/cl-tensor-decomposition

    A tensor decomposition library for Common Lisp which support sparse tensor.

    Language:Common Lisp7300

  • mmahesh/cocain-bpg-matrix-factorization

    New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

    Language:Python6304

  • nrohani/ISCMF

    ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

    Language:Python6106

  • autolordz/gradient-descent-optimization

    a python script of a function summarize some popular methods about gradient descent

    Language:Python5101

  • davidstutz/php-matrix-decompositions-demonstration

    Demonstration of common matrix decompositions in PHP.

    Language:PHP5312

  • jaysmitjadhav/Singular-Value-Decomposition

    Matrix Decompostion Techniques - SVD and QR Decomposition

    Language:MATLAB5201

  • anishacharya/Online-Embedding-Compression-AAAI-2019

    Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constraints. Existing compression methods are either lossy or introduce significant latency. We propose a compression method that leverages low rank matrix factorization during training, to compress the word embedding layer which represents the size bottleneck for most NLP models. Our models are trained, compressed and then further re-trained on the downstream task to recover accuracy while maintaining the reduced size. Empirically, we show that the proposed method can achieve 90% compression with minimal impact in accuracy for sentence classification tasks, and outperforms alternative methods like fixed-point quantization or offline word embedding compression. We also analyze the inference time and storage space for our method through FLOP calculations, showing that we can compress DNN models by a configurable ratio and regain accuracy loss without introducing additional latency compared to fixed point quantization. Finally, we introduce a novel learning rate schedule, the Cyclically Annealed Learning Rate (CALR), which we empirically demonstrate to outperform other popular adaptive learning rate algorithms on a sentence classification benchmark.

    Language:Python4202

  • thomwiggers/m4ri-rust

    M4RI Rust bindings

    Language:Rust4383

  • aostrun/Matrix-LUP

    Matrix implementation that includes LU/LUP decomposition and solving basic linear equations

    Language:Python3222

  • davidstutz/php-matrix-decompositions

    PHP Library including several common matrix decompositions: LU, QR and Cholesky.

    Language:PHP3301

  • iagoleal/RankRevealing.jl

    Rank-sensitive methods to decompose matrices over arbitrary fields

    Language:Julia3350

  • maximilianbehr/cuPolar

    Newton's and Halley's Method for the Matrix Polar Decomposition using CUDA

    Language:Cuda3100

  • rh01/hw-matrix-decomposition

    matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas

    Language:Python3300

  • TayssirDo/Cholesky-decomposition

    Python implementation of Cholesky decomposition

    Language:Python3104

  • athtareq/NumLinAlgMATLAB

    intro to MATLAB course for numerical analysis

    Language:MATLAB2100

  • Ben1980/linAlg

    Matrix decomposition methods as discussed on thoughts-on-cpp.com

    Language:C++2104

  • guimspace/envelope-matrix

    Algorithms to generate and work with the envelope of a matrix.

    Language:C2251

  • harshraj11584/Numerical_Analysis

    Numerical Techniques (Matrix Decomposition, Matrix Equation Solvers, Inversion, Iterative Root Finding), All Implemented from scratch in Python

    Language:Jupyter Notebook2101