There are 4 repositories under representation-theory topic.
Main development repository for GAP - Groups, Algorithms, Programming, a System for Computational Discrete Algebra
Tools for exploiting Morphological Symmetries in robotics
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
Isomorphisms of quiver representations applied to neural networks.
Notes for the lecture course “Foundations in Representation Theory”.
Decompose representations of finite groups into irreducibles
MLOne Powered by AIEdX. Machine Learning Course for Everyone. Tier1 Basic
AIDN is a deep learning algorithm to represent any finitely-presented algebraic object with a set of deep neural networks.
Computes representation matrices for Lie groups
Notes on Lie algebras and their representation theory.
Drafts of textbooks. One on the math inspired by supersymmetric field theories. One on low dimensional (below 3+1) integrable physics.
Computes the generators for a given representation of SU2 and SU3.
QSym² - a Rust program for Quantum Symbolic Symmetry. This is only a mirror. Please visit the main repository on GitLab. Documentation at https://qsym2.dev.
Handout for a seminar talk about the quantum group U_q(sl2).
A web-based game to illustrate the faithfulness problem for the Burau representation of the four strand braid group
Notes about "An introduction to Finite Group Representation Theory using Agda"
This thesis deals with implementation of algorithm for computation of generator of almost split sequences ending at an indecomposable nonprojective module of path algebra over finite quiver.
A Mathematica package for studies and applications of the Brauer Algebra
Trace decomposition and irreducible decomposition of a tensor on a Riemannian or symplectic manifold.
A package for Lie (super)algebra computations in Mathematica software system
My mathematics research page
A Python-based Rubik's Cube simulator and visualizer using matrix algebra for efficient representation, manipulation, and visualization of the cube's state. Includes a group theory approach to cube operations and a proof-of-concept visualization module using Matplotlib.
DFT for cyclic group and symmetric group over finite fields, and number fields in the unitary case.
Very simple version of the code used for the experiments in the paper Hidden Activations Are Not Enough: A General Approach to Neural Networks Predictions.
Working with symmetric functions (elementary, complete homogeneous, power sum, monomial and Schur) and associated combinatorics
Representation Theory of Algebras (VUB)
CM uniquement.