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Krishnaswamy Lab's Projects

aanet icon aanet

Archetypal Analysis network (AAnet)

blis icon blis

Accompanying code for the AISTATS 2024 paper BLIS-Net: Classifying and Analyzing Signals on Graphs

catch icon catch

Learning cellular hierarchy from scRNAseq data

condensation icon condensation

Diffusion Condensation is a topologically-inspired machine learning algorithm that is used to identify populations of cells across granularities.

curvenet icon curvenet

Diffusion curvature and Hessian prediction using point samples from quadratic hypersurfaces

cuts icon cuts

[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

demap icon demap

Denoised Embedding Manifold Preservation

diffusionemd icon diffusionemd

Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings

dymag icon dymag

Graph Differential Equation Neural Network

fluxbrain icon fluxbrain

pytorch implementation of FluxBrain, multimodal encoder-decoder networks

geosinkhorn icon geosinkhorn

Code for the paper Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds.

graph_fit icon graph_fit

New ways of fitting a graph to vector data.

graphtools icon graphtools

Tools for building and manipulating graphs in Python

gsae icon gsae

Code from 'Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings"

heatgeo icon heatgeo

Embedding with the Heat-geodesic dissimilarity

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