There are 2 repositories under ensemble-prediction topic.
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
A Python library for dynamic classifier and ensemble selection
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).
Postdoctoral project on construction of an EnOI (Ensemble Optimal Interpolation) data assimilation model for ocean current forecasts
Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.
Advanced Data Assimilation Algorithms and Methods
The implementation of mixtures for different tasks.
Handling ensemble forecast time series in hydrology, meteorology and possibly other domains
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
Empirical Inverse Transform Function for Ensemble Calibration
A framework to fit an ensemble of epidemic models to one or multiple regions at once
Predicting long-term and short-term Video Memorability using Semantic and Video features.
A ResNet50 based model to tackle the multi-class classification problem of detecting leaf wilting levels from plant images.