The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
An efficient framework for fitting and comparing hierarchical bayesian cognitive models
Iterative linear solver for dense/compressed systems with domain decomposition methods.
Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.
Arduino Lib for SFP module control and diagnostics with DDM protocol
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
Cognitive Models for Subjective Scales and Decision Making Tasks in R
Distributed decision-making system with Jade and Weka
PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
An interactive visualisation of the Wiener drift diffusion model
Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
A Displacement Discontinuity Method (DDM) implementation for fault slip
A powershell script for using the dell display manager
This version introduces a Schwarz-type, non-overlapping domain decomposition method for parallel training of PECANNs.
A lightweight swiftDialog companion for macOS DDM Software Update enforcement — escalating reminders, meeting-aware suppression, and a user-set snooze, so nobody gets surprised by a forced restart.
FEDDLib (Finite Element and Domain Decomposition Library) – C++ finite element library based on the open source package Trilinos with interfaces to solver packages in Trilinos (e.g., FROSch) and assembly routines from AceGEN. Documentation: https://feddlib.github.io/FEDDLib/
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