:chart_with_upwards_trend: 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.

🧠 AI-powered Personalized Exam System: Integrating OpenPangu LLM, Knowledge Graph RAG, and BKT algorithm for adaptive question generation and recommendation. 基于LLM与知识图谱的智能个性化出题系统。

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.

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

[arXiv:2601.06820] Offical implement of Bgolearn

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

:telescope: Learn anything, adapted for you. Free.

Daily notes on AI papers

Adaptive and automatic gradient boosting computations.

An open-source library of evidence-based Claude skills for educators — designed for teacher use and agent orchestration.

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

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

Adaptive and fault tolerant flight control with Adaptive Neural Networks

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

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

Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024

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.

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.

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.

Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

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

AI chaos reasoning persona

Framework for building AI agents with real-time adaptive learning capabilities.

Conditional Associative Logic Memory

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)