topological-data-analysis
There are 245 repositories under topological-data-analysis topic.
lmcinnes/umap
Uniform Manifold Approximation and Projection
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
scikit-tda/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
scikit-tda/scikit-tda
Topological Data Analysis for Python🐍
topology-tool-kit/ttk
TTK - Topological Data Analysis and Visualization - Source Code
Ripser/ripser
Ripser: efficient computation of Vietoris–Rips persistence barcodes
scikit-tda/ripser.py
A Lean Persistent Homology Library for Python
GUDHI/gudhi-devel
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
erdogant/findpeaks
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
pyt-team/TopoModelX
Topological Deep Learning
stephenhky/PyTDA
Topological Data Analysis in Python
pyt-team/TopoNetX
Computing on Topological Domains
FatemehTarashi/awesome-tda
A curated list of topological data analysis (TDA) resources and links.
aidos-lab/pytorch-topological
A topological machine learning framework based on PyTorch
BorgwardtLab/topological-autoencoders
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
dillondaudert/UMAP.jl
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
stephenhky/MoguTDA
Topological Data Analysis in Python: Simplicial Complex
hyungkwonko/umato
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
LAIT-CVLab/TopPR
NeurIPS 2023 - TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Official Code
Pseudomanifold/Aleph
A library for exploring persistent homology
hanssmail/quantQ
The repository for the Machine Learning and Big Data with kdb+/q book by Novotny et al.
rivetTDA/rivet
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
stefaniaebli/simplicial_neural_networks
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
ksanjeevan/mapper-tda
Mapper implementation (Topological Data Analysis) in Python
mtsch/Ripserer.jl
Flexible and efficient persistent homology computation.
BorgwardtLab/P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
c-hofer/torchph
The essence of my research, distilled for reusability. Enjoy 🥃!
multinetlab-amsterdam/network_TDA_tutorial
This repository is dedicated for the tutorial on network and topological neuroscience.
CamaraLab/scTDA
An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
ognis1205/spark-tda
SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
braindynamicslab/dyneusr
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
giotto-ai/giotto-ph
High performance implementation of Vietoris-Rips persistence.
aidos-lab/TARDIS
TARDIS: Topological Algorithms for Robust DIscovery of Singularities
wildart/TDA.jl
A Julia package for topological data analysis
rrrlw/TDAstats
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
openantz/antz
ANTz immersive 3D data visualization engine