lrnzgiusti / awesome-topological-deep-learningLinks
A curated list of topological deep learning (TDL) resources and links.
☆265Updated 2 weeks ago
Alternatives and similar repositories for awesome-topological-deep-learning
Users that are interested in awesome-topological-deep-learning are comparing it to the libraries listed below
Sorting:
- Topological Deep Learning☆292Updated last week
- ☆176Updated 2 years ago
- A topological machine learning framework based on PyTorch☆189Updated 2 months ago
- Computing on Topological Domains☆241Updated last week
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆184Updated last week
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆508Updated last year
- A curated list of topological data analysis (TDA) resources and links.☆209Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆122Updated 3 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- Representation Learning on Topological Domains☆88Updated last week
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆430Updated 6 months ago
- Graph Neural PDEs☆335Updated 2 years ago
- ☆80Updated 2 years ago
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆113Updated 2 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆39Updated 7 months ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆327Updated 2 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Deep learning made topological.☆86Updated last year
- About A collection of AWESOME things about information geometry Topics☆166Updated last year
- A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,013Updated 7 months ago
- flooder☆18Updated last week
- GraphCON (ICML 2022)☆59Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆181Updated 2 years ago
- ☆35Updated 4 years ago
- ☆55Updated 3 years ago
- ☆35Updated last year
- Code for paper E(n)-Equivariant Topological Neural Networks☆36Updated 10 months ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated last year