Popular GitHub Repositories for Gauss Newton

A library for differentiable nonlinear optimization

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Basic Machine Learning implementation with python

Extended Kalman filter for training neural-networks

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

A python implementation of Speech intelligibility in bits (SIIB)

Python and MATLAB code for Stein Variational sampling methods

Codes for popular numerical optimization methods and machine learning algorithms

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

(ICML 2024) Pursuing Overall Welfare in Federated Learning through Sequential Decision Making (https://arxiv.org/abs/2402.14650)

Stochastic Second-Order Methods in JAX

用于二元数据的迭代重加权最小二乘法 (IRLS) 算法