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Uniform Manifold Approximation and Projection
Created
2017-07-02
1,857 commits to master branch, last one 2 days ago
A high-performance topological machine learning toolbox in Python
Created
2019-10-15
2,116 commits to master branch, last one 5 months ago
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Created
2015-08-20
631 commits to master branch, last one 4 months ago
Topological Data Analysis for Python🐍
Created
2018-04-13
70 commits to master branch, last one 3 months ago
TTK - Topological Data Analysis and Visualization - Source Code
Created
2017-03-05
8,245 commits to dev branch, last one about a month ago
Ripser: efficient computation of Vietoris–Rips persistence barcodes
Created
2015-10-27
425 commits to master branch, last one about a year ago
A Lean Persistent Homology Library for Python
Created
2017-07-03
729 commits to master branch, last one 27 days ago
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
Created
2019-03-07
6,977 commits to master branch, last one 14 days ago
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
Created
2020-05-01
377 commits to master branch, last one 2 months ago
Topological Deep Learning
cxn
cw-complex
cw-networks
tensor-diagrams
higher-order-models
hypergraph-learning
cell-neural-networks
cell-complex-networks
graph-neural-networks
higher-order-networks
cellular-message-passing
topological-data-analysis
topological-deep-learning
hypergraph-neural-networks
simplicial-message-passing
simplicial-neural-networks
topological-message-passing
topological-neural-networks
cell-complex-neural-networks
higher-order-message-passing
Created
2022-07-12
1,188 commits to main branch, last one 10 days ago
Computing on Topological Domains
cw-complex
cw-networks
cell-complexes
tensor-diagrams
cellular-complex
simplicial-complex
cw-complex-networks
topological-learning
combinatorial-complex
higher-order-networks
heterogeneous-hypergraph
topological-data-analysis
topological-deep-learning
hypergraph-neural-networks
simplicial-neural-networks
topological-message-passing
topological-neural-networks
cell-complex-neural-networks
higher-order-message-passing
Created
2022-08-09
1,265 commits to main branch, last one 17 days ago
A curated list of topological data analysis (TDA) resources and links.
Created
2018-09-10
64 commits to master branch, last one about a month ago
A topological machine learning framework based on PyTorch
Created
2021-12-12
373 commits to main branch, last one 2 months ago
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Created
2018-09-13
241 commits to master branch, last one 9 months ago
Topological Data Analysis in Python: Simplicial Complex
Created
2018-06-11
143 commits to master branch, last one 26 days ago
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
Created
2020-06-20
269 commits to master branch, last one 3 months ago
NeurIPS 2023 - TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Official Code
Created
2023-09-22
78 commits to main branch, last one 3 months ago
A library for exploring persistent homology
Created
2016-11-30
2,212 commits to master branch, last one about a year ago
The repository for the Machine Learning and Big Data with kdb+/q book by Novotny et al.
Created
2019-04-26
86 commits to master branch, last one 8 months ago
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
Created
2017-03-28
1,056 commits to master branch, last one about a year ago
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
Created
2020-10-21
79 commits to main branch, last one 3 years ago
Flexible and efficient persistent homology computation.
Created
2020-04-09
218 commits to master branch, last one 5 months ago
This repository is dedicated for the tutorial on network and topological neuroscience.
Created
2020-12-14
62 commits to main branch, last one 9 months ago
The essence of my research, distilled for reusability. Enjoy 🥃!
Created
2017-10-13
277 commits to master branch, last one 2 months ago
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Created
2018-10-23
401 commits to master branch, last one 3 years ago
High performance implementation of Vietoris-Rips persistence.
Created
2020-11-30
220 commits to main branch, last one 5 months ago
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
Created
2022-03-03
252 commits to master branch, last one about a year ago
TARDIS: Topological Algorithms for Robust DIscovery of Singularities
Created
2022-08-16
173 commits to main branch, last one about a year ago
density-based clustering for exploratory data analysis based on multi-parameter persistence
Created
2021-07-07
220 commits to main branch, last one 2 months ago