ufvceiec / GEMA
A small Python 3 library to train Self Organizing Maps and use them to classify patterns.
☆25Updated 10 months ago
Alternatives and similar repositories for GEMA
Users that are interested in GEMA are comparing it to the libraries listed below
Sorting:
- Quasi-Newton algorithm for joint-diagonalization☆32Updated 2 years ago
- Self-Organizing Map [https://en.wikipedia.org/wiki/Self-organizing_map] is a popular method to perform cluster analysis. SOM shows two ma…☆46Updated 11 months ago
- ☆72Updated 4 years ago
- Optimal Hard Threshold for Matrix Denoising☆38Updated 3 years ago
- SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)☆112Updated 3 months ago
- Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago
- Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…☆31Updated 3 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- ☆32Updated last year
- Smooth data fitting in N dimensions.☆55Updated 2 years ago
- Empirical dynamic modeling in scikit-learn's style☆24Updated 7 years ago
- Python tools for Morse Smale Complex analysis and visualization☆10Updated 3 years ago
- ☆41Updated 7 years ago
- A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.☆79Updated 2 years ago
- SOMperf: Self-organizing maps performance metrics and quality indices☆36Updated 10 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆31Updated 10 months ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆43Updated 7 months ago
- Distributed Training of Bayesian Neural Networks at Scale☆11Updated 4 years ago
- PySensors is a Python package for sparse sensor placement☆91Updated 2 weeks ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆30Updated 8 months ago
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆40Updated last year
- A 30-minute showcase on the how and the why of neural differential equations.☆13Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- ☆21Updated 4 years ago