adaptive-learning

📈 Adaptive: parallel active learning of mathematical functions

Automatic brightness adjustment based on screen contents and ALS

A flexible, adaptive classification system for dynamic text classification

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

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.

Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022

🔭 Learn anything, adapted for you. Free.

[Materials & Design 2024 | NPJ com mat 2024] Offical implement of Bgolearn

Adaptive and automatic gradient boosting computations.

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

たまに追加される論文メモ

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

Adaptive and fault tolerant flight control with Adaptive Neural Networks

Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]

Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics

The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

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.

Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉