The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
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Updated
Oct 31, 2023 - Python
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
Arduino Lib for SFP module control and diagnostics with DDM protocol
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.
Distributed decision-making system with Jade and Weka
Solution of the Laplace equation in 2D using Domain Decomposition Method and Radial Basis Functions
PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
A Displacement Discontinuity Method (DDM) implementation for fault slip
Python interface for htool
A powershell script for using the dell display manager
This .Net/.Net Core class library is used to interface with existing IBM i database, program calls, CL commands, service programs and data queues via the PASE based xmlservice-cli PASE command program or regular qsh/bash commands. qsh/bash commands can be used to interface with any qsh/pase based utilities such as the IBM i db2util utility
Manage Windows brightness
Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
This project implements an AutoML-driven adaptive drift detection framework for COVID-19 forecasting, leveraging ADWIN & DDM to dynamically adjust models in response to concept drift. It enhances predictive accuracy by intelligently retraining models, ensuring robust time-series forecasting under evolving data conditions.
Converts GPS coordinates from DD to DDM format
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