ensembles topic
mlens
ML-Ensemble – high performance ensemble learning
pytorch-ensembles
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
reforest
Random Forests in Apache Spark
multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
DVERGE
Pytorch implementation of our NeurIPS'20 *Oral* paper "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles".
superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
gps-augment
Simple but high-performing method for learning a policy of test-time augmentation
CPDE
Results of the "Ensembles of offline changepoint detection methods" research to reproduce
random-forest
Random forests ported to Javascript with WebAssembly and WebWorkers