Alternatives and similar repositories for TutorialTopologicalDataAnalysis

Users that are interested in TutorialTopologicalDataAnalysis are comparing it to the libraries listed below

• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆38Updated last week
• scikit-tda / DREiMac
  Dimensionality Reduction with Eilenberg-MacLane Coordinates
  ☆42Updated 4 months ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆36Updated this week
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆84Updated 2 years ago
• FatemehTarashi / awesome-tda
  A curated list of topological data analysis (TDA) resources and links.
  ☆210Updated last year
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆88Updated this week
• simonzhang00 / ripser-plusplus
  Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
  ☆116Updated 2 years ago
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆124Updated this week
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆131Updated this week
• Dynamics-of-Neural-Systems-Lab / RVGP
  A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…
  ☆24Updated last year
• lordgrilo / AML-days-TDA-tutorial
  ☆32Updated 6 years ago
• yusuke-imoto-lab / V-Mapper
  V-Mapper -
  ☆10Updated 2 years ago
• GUDHI / TDA-tutorial
  A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…
  ☆438Updated 7 months ago
• ctralie / TDALabs
  Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…
  ☆96Updated 5 years ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 4 months ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆192Updated 2 weeks ago
• takuyaisomura / predpca
  Predictive principal component analysis (PredPCA)
  ☆20Updated 3 years ago
• scikit-tda / ripser.py
  A Lean Persistent Homology Library for Python
  ☆313Updated last week
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 8 months ago
• nplresearch / higher_order_LRG
  Python code to perform higher-order Laplacian renormalization of higher-order networks
  ☆23Updated last year
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆19Updated 2 years ago
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆34Updated last month
• samirchowdhury / pypph
  Chowdhury, S. and Mémoli, F., Persistent Path Homology of Directed Networks. SODA 2018.
  ☆13Updated 4 years ago
• pyt-team / challenge-icml-2024
  Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…
  ☆39Updated 8 months ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated last year
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆85Updated 2 years ago
• lizliz / teaspoon
  ☆45Updated 2 years ago
• pyrates-neuroscience / PyCoBi
  Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
  ☆24Updated last month
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆44Updated last year
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago