Automatic brightness adjustment based on screen contents and ALS
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Data stream analytics: Implement online learning methods to address concept 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
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)
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
Conditional Associative Logic Memory
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
Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
The simulator for education
ARTML- Real time learning
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
Data stream analytics: Implement online learning methods to address concept 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.
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