BorgwardtLab / topological-autoencodersLinks
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
β149Updated 3 years ago
Alternatives and similar repositories for topological-autoencoders
Users that are interested in topological-autoencoders are comparing it to the libraries listed below
Sorting:
- The essence of my research, distilled for reusability. Enjoy π₯!β67Updated 10 months ago
- Implementation of the PersLay layer for persistence diagramsβ81Updated last year
- Ripser++: GPU-accelerated computation of VietorisβRips persistence barcodesβ110Updated 2 years ago
- A topological machine learning framework based on PyTorchβ179Updated 2 months ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``β24Updated 5 years ago
- β31Updated 4 years ago
- Python-based persistent homology algorithmsβ19Updated last year
- Persistence differentiation with Gudhi and Tensorflowβ18Updated last year
- Distances and representations of persistence diagramsβ131Updated 3 months ago
- Topological Graph Neural Networks (ICLR 2022)β123Updated 3 years ago
- High performance implementation of Vietoris-Rips persistence.β48Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transportβ44Updated 2 years ago
- A Python package for intrinsic dimension estimationβ91Updated last month
- Vectorization of persistence diagrams and approximate Wasserstein distanceβ27Updated 5 years ago
- Synthetic data sets apt for Topological Data Analysisβ36Updated 2 months ago
- explanation / demos of topology conceptsβ14Updated 3 years ago
- PLLay: Efficient Topological Layer based on Persistence Landscapesβ21Updated 4 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".β43Updated 4 years ago
- Topological Data Analysis in Python: Simplicial Complexβ123Updated this week
- This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.β31Updated 2 years ago
- HERMES: A software package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent β¦β19Updated last year
- Deep learning made topological.β82Updated 11 months ago
- β11Updated 3 years ago
- SCOTT: Synthesizing Curvature Operations and Topological Toolsβ14Updated 6 months ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'β24Updated 4 years ago
- Code for the intrinsic dimensionality estimate of data representationsβ81Updated 5 years ago
- Representation Learning on Topological Domainsβ81Updated this week
- Open source library for combining TDA and Machine Learningβ85Updated last year
- Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'β31Updated 6 years ago
- Python library for multipersistenceβ27Updated last week