📈 Adaptive: parallel active learning of mathematical functions
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Updated
Jun 10, 2024 - Python
📈 Adaptive: parallel active learning of mathematical functions
Automatic brightness adjustment based on screen contents and ALS
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.
🔭 Learn anything, adapted for you. Free.
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
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)
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics
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]
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.
Conditional Associative Logic Memory
Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉
Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
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