adaptive-learning
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📈 Adaptive: parallel active learning of mathematical functions
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Dec 15, 2025 - Python
Automatic brightness adjustment based on screen contents and ALS
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Dec 1, 2025 - Rust
A flexible, adaptive classification system for dynamic text classification
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Oct 7, 2025 - Python
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
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Dec 4, 2025 - Fortran
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.
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Jun 5, 2023 - Jupyter Notebook
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
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Sep 21, 2022 - Python
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
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Oct 31, 2023 - Python
🔭 Learn anything, adapted for you. Free.
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Jun 18, 2024 - JavaScript
[Mat. & Des. 2024 | NPJ CM 2024] Offical implement of Bgolearn
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Dec 17, 2025 - Jupyter Notebook
Adaptive and automatic gradient boosting computations.
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Aug 20, 2022 - R
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
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Jul 7, 2018 - Jupyter Notebook
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
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Oct 25, 2021 - Jupyter Notebook
Adaptive and fault tolerant flight control with Adaptive Neural Networks
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Jul 26, 2023 - C
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
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Sep 9, 2018 - Python
Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]
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Jul 23, 2024 - MATLAB
Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics
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Dec 7, 2023 - Jupyter Notebook
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
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Mar 18, 2022
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
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Oct 25, 2024 - Python
This work investigates automatic hyperparameter tuning for planners such as DWA and TEB, and our navigation framework LE-Nav can be used to adjust hyperparameters of any optimization-based planner.
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Sep 9, 2025 - Python
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