stefaniaebli / dmt-signal-processingLinks
Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
☆14Updated 3 years ago
Alternatives and similar repositories for dmt-signal-processing
Users that are interested in dmt-signal-processing are comparing it to the libraries listed below
Sorting:
- The essence of my research, distilled for reusability. Enjoy 🥃!☆69Updated last year
- Unsupervised image segmentation by applying topological data analysis techniques.☆31Updated 5 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- Automatic differentiation through persistence diagrams with PyTorch☆16Updated last year
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆43Updated 4 years ago
- HCAE (HyperConnectome AutoEncoder) for brain state identification.☆16Updated 4 years ago
- ☆55Updated 3 years ago
- ☆19Updated 2 years ago
- Homology assisted CNN for image classification☆22Updated 5 years ago
- An implementation of Denoising Variational AutoEncoder with Topological loss☆31Updated 4 years ago
- "Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)☆26Updated 2 years ago
- RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds☆22Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆40Updated last week
- Topological Signal Processing in Python☆34Updated 2 months ago
- Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…☆18Updated 2 years ago
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆25Updated 3 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 4 years ago
- MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis☆59Updated 2 years ago
- Persistence differentiation with Gudhi and Tensorflow☆19Updated 2 years ago
- CS 230 Final project. Owned by Soham Gadgil, Sun Woo Kang, and Erick Siavichay-Velasco☆12Updated 3 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆17Updated 3 years ago
- How to fuse a population of graphs into a single one using graph neural networks?☆26Updated last year
- ☆28Updated last year
- Graph Convolution Network for fMRI Analysis Based on Connectivity Neighborhood☆55Updated 9 months ago
- PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis☆26Updated 5 years ago
- The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…☆14Updated 2 years ago
- Open library for LDDMM and Metamorphosis in PyTorch☆23Updated last week
- Python-based persistent homology algorithms☆19Updated 2 years ago
- STAGIN: Spatio-Temporal Attention Graph Isomorphism Network☆99Updated 2 years ago
- https://arxiv.org/abs/2005.06935☆12Updated 2 years ago