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)

Interpretable Causal Diffusion Language Models

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

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

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

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

Abstract thinking patterns and problem decomposition / solving strategies

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

PHP MVC framework for bulding web applications

C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

A python package for processing Polarimetric Synthetic Aperture Radar (PolSAR) data.

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.

Visual exploration of clustered data.

Nim MAtrix NUmeric package

Decompose a signal/timeseries into structure and noise or seasonal and residual components

Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

waveform LiDAR data processing and analysis

Get the position of the camera from a known reference image and a video feed using homography

2D Map Alignment With Region Decomposition