Statistical and Algorithmic Investing Strategies for Everyone

Project Page of Synthesizing Normalized Faces From Facial Identity Features - [CVPR 2017]

Full loss Hessian spectrum approximation tool.

A library to locate exceptional points and to reconstruct eigenvalues loci

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs with a large number of vertices.

Examples for using Magma GPU library (CUDA) for linear algebra.

Calculate eigenvalues and eigenvectors of a given matrix

Visualizing the distribution of complex eigenvalues of random matrices.

TuBes Algeo02 2022/2023 🛩

This project is created for learning the real world application of linear algebra which contains some core concepts like determinants, matrix, eigen-value, eigen-vector, etc to create a real-world application like steganography, grafh-theory, analysis of spread of disease, image processing, cryptography etc. This can have small bugs like excepti…

A quick program to visualize Gershgorin circles which can be used to approximate approximate eigenvalues.

Singular generalized eigenvalue problems.

Binet formula with trascendentals as Eigen values

Unofficial python interface to Spectra library; GPU accelerated eigenvalue / TruncatedSVD problems solving

Pruning System in Keras for a Deeper Look Into Convolutions

Hessian spectral analysis with tensorflow1.x

Calculate bounds on the Perron (dominant) eigenvalue of nonnegative matrices

Official implementation of the paper "FedLSF: Federated Local Graph Learning via Specformers"

calculate eigenvalues and eigenvectors for a 3x3 matrix and eigenvalues for a 2x2 matrix