📈 Adaptive: parallel active learning of mathematical functions
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Updated
Jun 24, 2024 - Python
📈 Adaptive: parallel active learning of mathematical functions
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Automatic brightness adjustment based on screen contents and ALS
🔭 Learn anything, adapted for you. Free.
Adaptive and fault tolerant flight control with Adaptive Neural Networks
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
ARTML- Real time learning
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
Adaptive and automatic gradient boosting computations.
The simulator for education
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
Adaptive Reinforcement Learning of curious AI basketball agents
Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.
Code of the paper:A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]
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