TensorLy: Tensor Learning in Python.

Python implementation of Empirical Mode Decompoisition (EMD) method

Tidy anomaly detection

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Singular Spectrum Analysis for time series forecasting in Python

R interface to the ANTs biomedical image processing library

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

Modular Tracking Framework

CP and Tucker decomposition for Convolutional Neural Networks

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

PHP MVC framework for bulding web applications

Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.

Fully automated Gaussian decomposition package for emission line spectra

Visual exploration of clustered data.

Cross-platform .NET library for digital signal processing. Fast and optimized

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.