ensembles
There are 41 repositories under ensembles topic.
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
SamsungLabs/pytorch-ensembles
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
usgs/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
damianhorna/multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
alessandrolulli/reforest
Random Forests in Apache Spark
zjysteven/DVERGE
[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
YKatser/CPDE
Results of the research to reproduce
SamsungLabs/gps-augment
Simple but high-performing method for learning a policy of test-time augmentation
ck37/superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
tlc4418/llm_optimization
A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
zemlyansky/random-forest
Random forests ported to Javascript with WebAssembly and WebWorkers
nastiag67/ecgn
Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.
joekadi/Inverse-Reinforcement-Learning-Bayesian-Uncertainty
The PyTorch framework developed to enable my MSci thesis project titled: "Evaluating Uncertainty Estimation Methods For Deep Neural Network’s In Inverse Reinforcement Learning"
drmerlot/startml
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
benedekrozemberczki/Societe-General
Solution for ENS - Societe Generale Challenge (1st place).
razorx89/imageclef-med-2016-follow-up-research
Tensorflow slim based model training for ImageCLEF 2016 subfigure classification.
epiforecasts/stackr
Model stacking for predictive ensembles
iuliivasilev/dev-survivors
Open-source Survival Analysis library
LinkedEarth/pens
Utilities for comparing paleoclimate reconstruction ensembles
PerezOrtegaJ/Xsembles2P
Tool to analyze two-photon calcium imaging videos, extract neuronal activity, and identify neuronal ensembles (ONsembles and OFFsembles).
LennartPurucker/CMA-ES-PostHocEnsemblingAutoML
Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".
LennartPurucker/PopulationBasedQDO-PostHocEnsembleSelectionAutoML
Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"
zmlabe/AntSeaIceVari
Large-scale atmospheric response to Antarctic sea ice loss
cplou99/BayesianDL
We provide two notebooks that enable users to explore and experiment with some BDL techniques as Ensembles, MC Dropout and Laplace Approximation. In this way, they allow you to intuitively visualize the main differences among them in a Simulated Dataset and Boston Dataset.
dm-medvedev/forest-research
Methods for increasing generalization ability based on different ways of ensembles building
pstavrakoglou/SAP
Text Sentiment Analysis using Ensembles
Ragadeepthi/Higgs-Boson-Signal-Prediction
Predictive Analysis of detecting signal emitting Source
Ragadeepthi/Insurance-Liability-claim-Analysis
Analysis of Insurance Liability Claim Amount for settlement
Ragadeepthi/Tennis-Player-strength-Analysis
Tennis Player strength Analysis using Machine Learning
Thom-J-H/Capstone2_Harvard_edX
Testing 21 models (machine learning ensemble) on the WDBC data set
alexlyzhov/CPDE
Cross-Pollinated Deep Ensembles (NeurIPS Europe Meetup on Bayesian Deep Learning 2020)
mchamochin1/SDGs-interlinks-with-Climate-Change-Energy-Transition
Connecting the Sustainable Development Goals with climate change and the energy transition
MUSC-TBIC/ots-ensemble-systems
Off-the-Shelf Ensemble Systems
InfiniteCuriosity/My-machine-learning-templates
This is where I'll post my machine learning templates that I've created
zmlabe/SSTResponse
PAMIP simulations to understand role of sea surface temperatures on polar amplifications