{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

About A collection of AWESOME things about information geometry Topics

comparative evaluation of incremental machine learning methods

This repository contains a python package that computes the Learned Bayesian Cram'er-Rao Bound given a Conditional Normalizing Flow. In addition, this repository contains a set of examples of various types of signal processing examples.

CosmicFishPie: Python Fisher Matrix code for Cosmological probes

Exprimental Implementation of Riemannian manifold calculation

This is the repository for the SNN-22 Workshop paper on "Generalization and Memorization in Sparse Neural Networks".

Master Thesis on "Comparing Modular Approaches for Parameter-Efficient Fine-Tuning"

Likelihood model framework

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

CEL Continual Learning

Matlab codes for analyzing and designing single-cell experiments.