Methods for computational information geometry
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Updated
Sep 22, 2024 - Julia
Methods for computational information geometry
🏔️Manopt. jl – Optimization on Manifolds in Julia
Comprehensive open source book on basic topology, smooth manifolds, differential geometry, Lie theory, homological algebra, and index theory.
Distance-based Analysis of DAta-manifolds in python
Slepian Scale-Discretised Wavelets in Python
This repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"
Maurer-Cartan-Lie frame connections ∇ Grassmann.jl TensorField derivations
Differentiation on manifolds
Differential equations on manifolds
Normal distributions on manifolds
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Adaptive P/ODE numerics with Grassmann element TensorField assembly
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
Extensive learning notes on mathematics
uniform samplers from immersed manifolds
Tensor algebra abstract type interoperability setup
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
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