There are 2 repositories under decomposition topic.
Python implementation of Empirical Mode Decompoisition (EMD) method
Tidy anomaly detection
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Modular Tracking Framework
CP and Tucker decomposition for Convolutional Neural Networks
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/
[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
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
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
Nim MAtrix NUmeric package
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.
C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms
Decompose a signal/timeseries into structure and noise or seasonal and residual components
2D Map Alignment With Region Decomposition
waveform LiDAR data processing and analysis
A library to compose and decompose Hangul syllables using Hangul jamo characters
Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
Abstraction Layers
A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative Classical Decomposition, Additive Classical Decomposition, and an ARIMA model.
A package for decomposing multi-channel EMG signals into individual motor unit activity.
model-compression-and-acceleration-4-DNN
SP-TFF code package aims to present a methodology for high-resolution polarization analysis and filtering of seismic signals in the TF-domain. The main developments in this research work are: (a) reformulation of the eigenvalue decomposition polarization analysis (EDPA) in TF-domain, (b) combining the SP-TFR to the formulation to obtain high-resolution TF-domains polarization parameters for discriminating nearby seismic phases, and (c) incorporating TF-domain directivity, rectilinearity, and amplitude attributes to extract (or eliminate) different seismic phases. The main focus is to discriminate between Love and Rayleigh from the body and coda waves.
Abstract thinking patterns and problem decomposition / solving strategies
Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (large-scale) linear programming.