#Topological-data-analysis
Showing 16 of 16 repositories tagged #topological-data-analysis, ranked by stars
Uniform Manifold Approximation and Projection
A high-performance topological machine learning toolbox in Python
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
TTK - Topological Data Analysis and Visualization - Source Code
A Lean Persistent Homology Library for Python
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
NeurIPS 2023 - TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Official Code
The repository for the Machine Learning and Big Data with kdb+/q book by Novotny et al.
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
ANTz immersive 3D data visualization engine
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
A Julia package for topological data analysis
Quantitative finance platform that uses Hidden Markov Models (HMM) to detect market regimes and deploy adaptive trading strategies. Features include automated strategy generation, realistic backtesting, topological data analysis (TDA), robust risk management, and walk-forward validation