About A collection of AWESOME things about information geometry Topics

Methods for computational information geometry

A Fisher information matrix python package for GW detector networks.

Lecture notes of Professor Stéphane Mallat - Collège de France - Paris

[ICML 2025] Official implementation of "Efficiently Access Diffusion Fisher: Within the Outer Product Span Space".

A framework for determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information.

Active learning for neural networks

[COLM 2025] Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning

This is an awesome list for information geometry. This is my curation of resources on this topic as such there are bound to be things I missed, please contribute if you think I missed anything.

Experimental design in neutron reflectometry using the Fisher information.

Minimal effort to get maximal information from your experiments

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Verification harness for quantum ML. A reproducible lab for stress-testing quantum models where predictive accuracy, identifiability, curvature, and robustness under noise can diverge.

Replication package for Fisher curvature scaling exponent d_R = 10/9 at 2D Ising critical point

Matlab package for LNA simulations of biological models

Closed-form MLE and Fisher information for exponential series systems with masked failure data. Includes theoretical results, proofs, and numerical validation.

A sensitivity toolbox that is tailored to the design process in the presence of uncertainties

An R package for I-prior regression

Cadre théorique formel visant à unifier la thermodynamique, la théorie de l’information et la gravitation émergente à travers la géométrie informationnelle. Le projet explore la courbure thermodynamique de Ruppeiner ($R$) comme invariant géométrique encodant la microstructure, les corrélations et les interactions fondamentales des systèmes physique