TensorLy: Tensor Learning in Python.
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Updated
Apr 11, 2024 - Python
TensorLy: Tensor Learning in Python.
Python implementation of Empirical Mode Decompoisition (EMD) method
Singular Spectrum Analysis for time series forecasting in Python
Tidy anomaly detection
Abstraction Layers
R interface to the ANTs biomedical image processing library
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
Modular Tracking Framework
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.
CP and Tucker decomposition for Convolutional Neural Networks
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
A small walk through on how we can decompose a time series into trend, seasonality and residual
PHP MVC framework for bulding web applications
[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
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
[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms
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.
Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
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