Uniform Manifold Approximation and Projection
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- Python
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topological-data-analysis
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A high-performance topological machine learning toolbox in Python
machine-learning topology mapper scikit-learn topological-data-analysis tda computational-topology topological-machine-learning
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- Python
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
visualization python data-visualization hacktoberfest topological-data-analysis tda mapper-algorithm kepler-mapper
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- Python
Topological Data Analysis for Python🐍
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- Python
TTK - Topological Data Analysis and Visualization - Source Code
visualization python c-plus-plus vtk paraview persistent-homology topological-data-analysis discrete-morse-theory contour-tree reeb-graph merge-tree morse-smale-complex
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Ripser: efficient computation of Vietoris–Rips persistence barcodes
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Topological Deep Learning
topological-data-analysis graph-neural-networks higher-order-models higher-order-networks hypergraph-neural-networks cw-complex hypergraph-learning cell-complex-networks simplicial-neural-networks cell-complex-neural-networks cw-networks cxn topological-deep-learning cell-neural-networks simplicial-message-passing cellular-message-passing higher-order-message-passing topological-message-passing tensor-diagrams topological-neural-networks
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A Lean Persistent Homology Library for Python
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The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
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The detection of peaks and valleys in a 1d-vector or 2d-array (image)
topology mesh sonar mask sar 3d-reconstruction topological-data-analysis denoising-images peak-detection peak-analysis speckle-noise
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Computing on Topological Domains
cell-complexes topological-data-analysis simplicial-complex higher-order-networks hypergraph-neural-networks cw-complex cw-complex-networks simplicial-neural-networks cell-complex-neural-networks cw-networks topological-deep-learning combinatorial-complex topological-learning higher-order-message-passing topological-message-passing cellular-complex tensor-diagrams topological-neural-networks heterogeneous-hypergraph
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A curated list of topological data analysis (TDA) resources and links.
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A topological machine learning framework based on PyTorch
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- Python
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
topology image-segmentation persistent-homology topological-data-analysis plug-and-play differentiable betti-numbers neurips-2019
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Topological Data Analysis in Python
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- Python
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
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Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
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- Julia
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
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A library for exploring persistent homology
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- C++
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