Linear Algebra and Statistics library for Scala.js, JVM, and Native.
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Updated
May 23, 2024 - Scala
Linear Algebra and Statistics library for Scala.js, JVM, and Native.
Analysis repository for Taniguchi et al. 2021, AJ, 162, 111
This class solves the problem of decomposition of an arbitrary matrix into a series of primitive matrices, which are rotations, scaling and translation. Solves the problem of the lack of mechanisms for working with the skew-component of the matrix, for example, in Unity.
This repository contains Python functions implementing the Hoffman algorithm for decomposing elements of SO(N), and functions applying this algorithm to decompose any element of the matchgate group into nearest-neighbor matchgates. See README for more information and a list of references on the Hoffman decomposition and the matchgate group.
Contains implementations of efficient representations of and updating algorithms for QR factorizations.
It is one of my three seminars for Master degree in TU Chemnitz
Fondements de l’Algorithmique Algébrique. Implémentation de différent algorithme appliqué à des matrices à coefficients dans Z/nZ.
Models to detect real pictures from fake photoshoped pictures
Implementation of the Finite Element Method (FEM) to solve static equilibrium problems using rectangular elements (2D)
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Reformulation of SDPs using block factor-width two matrices
A on-going crate that provides basic matrix manipulations and ports and python's scipy-sklearn's matrix decomposition to pure Rust
This package contains implementations of efficient representations and updating algorithms for Cholesky factorizations.
This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.
implement machine learning models from scratch
Example of an estimation of cell-type proportions using reference-free method (RefFreeEWAS)
Compressing RGB images using SVD matrix decomposition
Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow
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