Alternatives and similar repositories for AML-days-TDA-tutorial

Users that are interested in AML-days-TDA-tutorial are comparing it to the libraries listed below

• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆65Updated 7 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆82Updated last year
• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆31Updated last week
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆124Updated last week
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆85Updated last year
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆131Updated 4 months ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 4 years ago
• SamirMoustafa / Time-Series-Classification
  The official implementation for the paper R.Castro, S.Moustafa, P.Pilyugina, E.Burnaev "Topologically-based Variational Autoencoder for T…
  ☆17Updated 5 years ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆37Updated 4 months ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆27Updated 5 years ago
• lizliz / teaspoon
  ☆44Updated 2 years ago
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆24Updated 4 years ago
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 5 months ago
• merylldindin / topologyx
  Topological Data Analysis Routines
  ☆147Updated this week
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago
• lordgrilo / ComplexNetworks2021-tda-crash-courses
  ☆18Updated 3 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆69Updated 11 months ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• giotto-ai / giotto-ph
  High performance implementation of Vietoris-Rips persistence.
  ☆51Updated last year
• scikit-tda / DREiMac
  Dimensionality Reduction with Eilenberg-MacLane Coordinates
  ☆43Updated last month
• giotto-ai / giotto-deep
  Deep learning made topological.
  ☆84Updated last year
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• geomdata / gda-public
  The open-source toolbox of easy-to-use topological data analysis tools, developed by GDA.
  ☆63Updated 3 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆186Updated last month
• MathieuCarriere / tda-tutorials
  A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…
  ☆29Updated last month
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆43Updated 4 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated 2 years ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆151Updated 4 years ago
• GemsLab / GroupINN
  GNN with summarization/grouping layer for speed and interpretability
  ☆15Updated 4 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago