Tool for smooth git handover.

ML-Ensemble – high performance ensemble learning

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Results of the "Ensembles of offline changepoint detection methods" research to reproduce

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Random Forests in Apache Spark

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

Solution for ENS - Societe Generale Challenge (1st place).

A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.

Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.

Random forests ported to Javascript with WebAssembly and WebWorkers

Large-scale atmospheric response to Antarctic sea ice loss

PAMIP simulations to understand role of sea surface temperatures on polar amplifications

Model stacking for predictive ensembles

Decision and Ensemble methods implemented in C#

Stay Alive. A Reliable and Interpretable Survival Analysis Library

Methods for increasing generalization ability based on different ways of ensembles building

Analysis of Insurance Liability Claim Amount for settlement