nolan-h-hamilton

emsco

Code for "Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives", at IEEE CEC 2022

EMSCO-supplement

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

ROCCO

Robust Open Chromatin Detection via Convex Optimization: Multisample Consensus Peak Calling

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

nolan-h-hamilton/ROCCO

Robust Open Chromatin Detection via Convex Optimization: Multisample Consensus Peak Calling

nolan-h-hamilton/emsco

Code for "Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives", at IEEE CEC 2022

nolan-h-hamilton/EMSCO-supplement

nolan-h-hamilton/filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.