Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
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Updated
Jul 27, 2026 - Python
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Python framework for short-term ensemble prediction systems.
A Python library for dynamic classifier and ensemble selection
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
An Algorithmic Information Theory Library (And Information-theory broadly); Implements numerous approximations, estimations, as well as a comprehensive MC-AIXI Agent & Model Ensemble platform.
Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.
Postdoctoral project on construction of an EnOI (Ensemble Optimal Interpolation) data assimilation model for ocean current forecasts
Advanced Data Assimilation Algorithms and Methods
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
The implementation of mixtures for different tasks.
Pipeline automation for Forex
Handling ensemble forecast time series in hydrology, meteorology and possibly other domains
Empirical Inverse Transform Function for Ensemble Calibration
Kernels for machine learning problems
A framework to fit an ensemble of epidemic models to one or multiple regions at once
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