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PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
PyTorch implementation of Hessian Free optimisation
PyTorch implementation of the Hessian-free optimizer
On the New method of Hessian-free second-order optimization
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Implementation of numerical optimization algorithms for logistic regression problem.
Tensorflow implement of Meta Learning with Hessian Free Approach in Deep Neural Nets Training
Course project for CS771A: Introduction to Machine Learning
Fine-tuning LLMs with LoRA and Hessian-free optimizers
Implementation of Adaptive Hessian-free optimization.