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preconditioned-gradient-descent

Here are 3 public repositories matching this topic...

Suhyun777 / CVPR23-GAP

Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"

riemannian-optimization few-shot-classifcation meta-learning-algorithm cross-domain-few-shot-learning few-shot-regression preconditioned-gradient-descent

Updated May 23, 2023
Python

emreyilmaztr / Numerical-Optimization

Some numerical optimization method in Python

line-search unconstrained-optimization linear-least-squares trust-region-methods quasi-newton-method preconditioned-gradient-descent

Updated Sep 4, 2021
Jupyter Notebook

NiklasNertinger / Nonlinear-Transformers-In-Context-PGD

Codebase for experimenting with linear and nonlinear Transformers and their ability to implement preconditioned gradient descent (PGD) in-context.

machine-learning deep-learning transformers gradient-descent in-context-learning preconditioned-gradient-descent

Updated Feb 17, 2025
Python

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