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category_theory_machine_learning

List of papers studying machine learning through the lens of category theory

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

gated_gcrnns

Gated graph convolutional recurrent neural networks code used in:

graph-learning

hans-riess.github.io

hglearning

Stable and transferable hypergraph learning in PyTorch

kiawahbabysitter.github.io

latticecnn

Code accompanying paper "Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions"

neural-sheaf-diffusion

p_mas_tg

Planner for Multiple Agent System with Temporal Goals

paywall_genie

prefdynamo

Code accompanying paper "Network Preference Dynamics using Lattice Theory"

pygsig

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

rragu

Accompanying code for "Max-Plus Synchronization in Decentralized Trading Systems"

s_deep-fish-landmark-detection-train

seq2tens

Seq2Tens: An efficient representation of sequences by low-rank tensor projections

signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

tnns

Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"