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

Python framework for short-term ensemble prediction systems.

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).

EnKF_seir

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

Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance

The implementation of mixtures for different tasks.

Handling ensemble forecast time series in hydrology, meteorology and possibly other domains

Empirical Inverse Transform Function for Ensemble Calibration

Kernels for machine learning problems

Predicting long-term and short-term Video Memorability using Semantic and Video features.

A framework to fit an ensemble of epidemic models to one or multiple regions at once

A ResNet50 based model to tackle the multi-class classification problem of detecting leaf wilting levels from plant images.