Popular GitHub Repositories for Quasi 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.

Character-level Neural Translation using Quasi-RNNs

Basic Machine Learning implementation with python

Extended Kalman filter for training neural-networks

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

Quasi-Periodic Parallel WaveGAN Pytorch implementation

The Codebase for Quasi-Attention BERT Model for TABSA Tasks (AAAI '21)

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)

Python and MATLAB code for Stein Variational sampling methods

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

Quasi-Periodic WaveNet Pytorch implementation

Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

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)

A code that performs extended adaptive Quasi Harmonic Model Analysis and Synthesis in a speech signal.

Stochastic Second-Order Methods in JAX

Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting