📈 Adaptive: parallel active learning of mathematical functions
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Updated
Aug 12, 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)
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
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
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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