Alternatives and similar repositories for giotto-deep

Users that are interested in giotto-deep are comparing it to the libraries listed below

• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆183Updated last week
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆37Updated 3 months ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆81Updated this week
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆82Updated last year
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆131Updated 4 months ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆27Updated 5 years ago
• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆29Updated last month
• giotto-ai / giotto-ph
  High performance implementation of Vietoris-Rips persistence.
  ☆48Updated last year
• FatemehTarashi / awesome-tda
  A curated list of topological data analysis (TDA) resources and links.
  ☆200Updated 10 months ago
• pyt-team / TopoModelX
  Topological Deep Learning
  ☆282Updated this week
• pyt-team / TopoNetX
  Computing on Topological Domains
  ☆227Updated last week
• scikit-tda / ripser.py
  A Lean Persistent Homology Library for Python
  ☆304Updated last week
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆67Updated 11 months ago
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆123Updated 3 weeks ago
• GUDHI / gudhi-devel
  The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimension…
  ☆282Updated this week
• lizliz / teaspoon
  ☆44Updated 2 years ago
• LuisScoccola / persistable
  density-based clustering for exploratory data analysis based on multi-parameter persistence
  ☆39Updated 3 weeks ago
• awesome-tnns / awesome-tnns
  ☆174Updated last year
• DavidLapous / multipers
  Python library for multipersistence
  ☆28Updated last week
• 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 si…
  ☆80Updated 4 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆91Updated 2 months ago
• topnn / topnn_framework
  ☆31Updated 4 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆124Updated 3 years ago
• ctralie / TDALabs
  Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…
  ☆95Updated 5 years ago
• scikit-tda / DREiMac
  Dimensionality Reduction with Eilenberg-MacLane Coordinates
  ☆42Updated 2 weeks ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• geometric-intelligence / TopoBench
  TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
  ☆136Updated this week
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆261Updated last month
• geomdata / gda-public
  The open-source toolbox of easy-to-use topological data analysis tools, developed by GDA.
  ☆63Updated 3 years ago