TensorLy: Tensor Learning in Python.
Python implementation of Empirical Mode Decompoisition (EMD) method
Tidy anomaly detection
Interpretable Causal Diffusion Language Models
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
[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
CP and Tucker decomposition for Convolutional Neural Networks
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
[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 package for processing Polarimetric Synthetic Aperture Radar (PolSAR) data.
A trusted toolbox for the decomposition and analysis of HD-EMG recordings
Cross-platform .NET library for digital signal processing
Abstract thinking patterns and problem decomposition / solving strategies
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
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.
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