edhirst

ClusterAlgebrasML

Supervised machine learning techniques and general network analysis methods are applied to Cluster Algebras and their exchange graphs (arXiv: 2203.13847).

GrassmanniansML

Generation of Grassmannian cluster variables via Young tableaux and their ML (arXiv: 2212.09771).

HilbertSeriesML

Machine learning techniques are applied to generated datasets of Hilbert Series, to learn a variety of properties (arXiv: 2103.13436).

IsoSigPGML

Generation, network analysis, and machine learning of 3-manifold triangulation Pachner graphs, with focus on the IsoSig representation.

ML_Clifford_Invariants

ML Clifford invariants of Coxeter elements (arXiv: 2310.00041)

MLcCY7

Generation of Calabi-Yau links from wp4 spaces, computation of their topological properties (Sasakian Hodge numbers, CN invariant), and their ML (arXiv: 2310.03064).

OxfordCYTutorial

A sagemath notebook for tutorial 2 of the String Theory Compactification course of the Oxford ML conference 2023.

P4CY3ML

Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces (arXiv: 2112.06350).

P5CY4ML

Weight systems of 6 weights, defining weighted P5s and CY4s, are studied with ML. An approximation of Hodge computation is presented and used to generate transverse weight systems for CY5s and CY6s (arXiv: 2311.17146).

PolytopeML

Machine learning techniques are applied to datasets of polygons & polyhedra, examining how properties such as volume, dual volume, reflexivity can be learnt from Plucker coordinate representation using neural networks (arXiv: 2109.09602).

edhirst/P4CY3ML

Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces (arXiv: 2112.06350).

edhirst/GrassmanniansML

Generation of Grassmannian cluster variables via Young tableaux and their ML (arXiv: 2212.09771).

edhirst/ClusterAlgebrasML

Supervised machine learning techniques and general network analysis methods are applied to Cluster Algebras and their exchange graphs (arXiv: 2203.13847).

edhirst/PolytopeML

Machine learning techniques are applied to datasets of polygons & polyhedra, examining how properties such as volume, dual volume, reflexivity can be learnt from Plucker coordinate representation using neural networks (arXiv: 2109.09602).

edhirst/OxfordCYTutorial

A sagemath notebook for tutorial 2 of the String Theory Compactification course of the Oxford ML conference 2023.

edhirst/HilbertSeriesML

Machine learning techniques are applied to generated datasets of Hilbert Series, to learn a variety of properties (arXiv: 2103.13436).

edhirst/IsoSigPGML

Generation, network analysis, and machine learning of 3-manifold triangulation Pachner graphs, with focus on the IsoSig representation.

edhirst/ML_Clifford_Invariants

ML Clifford invariants of Coxeter elements (arXiv: 2310.00041)

edhirst/MLBraneWebs

Application of Siamese Neural Networks to classification of Type IIB (p,q)-brane webs under SL(2,Z) duality and Hanany-Witten transitions (arXiv: 2202.05845).

edhirst/MLcCY7

Generation of Calabi-Yau links from wp4 spaces, computation of their topological properties (Sasakian Hodge numbers, CN invariant), and their ML (arXiv: 2310.03064).

edhirst/MODAnalyzer

edhirst/P5CY4ML

Weight systems of 6 weights, defining weighted P5s and CY4s, are studied with ML. An approximation of Hodge computation is presented and used to generate transverse weight systems for CY5s and CY6s (arXiv: 2311.17146).

edhirst/RPS_Simulation

Simulation of bouncing balls, interacting via rock-paper-scissors on collision.