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GitHub topics: ensembles

ENSTA-U2IS-AI/torch-uncertainty

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

Language: Python - Size: 4.91 MB - Last synced at: about 6 hours ago - Pushed at: about 14 hours ago - Stars: 387 - Forks: 30

sandialabs/quends

Quantification of Uncertainty in ENsembles of Data Streams

Language: Python - Size: 5.95 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 6 - Forks: 0

remotemobprogramming/mob

Tool for smooth git handover.

Language: Go - Size: 2.15 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 1,733 - Forks: 157

flennerhag/mlens

ML-Ensemble – high performance ensemble learning

Language: Python - Size: 9.94 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 855 - Forks: 109

usgs/pestpp

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

Language: C++ - Size: 1.09 GB - Last synced at: 7 days ago - Pushed at: 10 days ago - Stars: 148 - Forks: 79

iuliivasilev/dev-survivors

Tree-based survival analysis from scratch

Language: Python - Size: 362 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 25 - Forks: 2

CORDEX-be2/ValEnsPy

A Python package to Validate Ensembles of gridded model data

Language: Python - Size: 378 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

LinkedEarth/pens

Utilities for comparing paleoclimate reconstruction ensembles

Language: Jupyter Notebook - Size: 136 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

PerezOrtegaJ/Xsembles2P

Tool to analyze two-photon calcium imaging videos, extract neuronal activity, and identify neuronal ensembles (ONsembles and OFFsembles).

Language: MATLAB - Size: 6.15 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

LKEthridge/Numerical_Methods

A Numerical Methods project from TripleTen

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

epiforecasts/stackr

Model stacking for predictive ensembles

Language: HTML - Size: 27.9 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 3

matejcik/tcoof-trust Fork of d3scomp/tcoof-security-ecsa

Ensemble-based Access Control Framework

Language: TeX - Size: 6.73 MB - Last synced at: 7 days ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

tlc4418/llm_optimization

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

Language: Python - Size: 62.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 34 - Forks: 3

zemlyansky/random-forest

Random forests ported to Javascript with WebAssembly and WebWorkers

Language: JavaScript - Size: 344 KB - Last synced at: 14 days ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 4

benedekrozemberczki/Societe-General

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

Language: R - Size: 10.7 KB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 6

damianhorna/multi-imbalance

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

Language: Python - Size: 66 MB - Last synced at: 26 days ago - Pushed at: 12 months ago - Stars: 77 - Forks: 11

SamsungLabs/pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 235 - Forks: 24

razorx89/imageclef-med-2016-follow-up-research

Tensorflow slim based model training for ImageCLEF 2016 subfigure classification.

Language: Python - Size: 155 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 0

zjysteven/DVERGE

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

Language: Python - Size: 24 MB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 55 - Forks: 13

LennartPurucker/CMA-ES-PostHocEnsemblingAutoML

Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".

Language: Python - Size: 1.88 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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"

Language: Python - Size: 20.3 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

YKatser/CPDE

Results of the research to reproduce

Language: Jupyter Notebook - Size: 5.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 12

alessandrolulli/reforest

Random Forests in Apache Spark

Language: Scala - Size: 71 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 72 - Forks: 11

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.

Language: Jupyter Notebook - Size: 5.39 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

stewarthkerr/CS760

CS760: Machine Learning

Language: Python - Size: 95.3 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

InfiniteCuriosity/My-machine-learning-templates

This is where I'll post my machine learning templates that I've created

Language: R - Size: 91.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

alexlyzhov/CPDE

Cross-Pollinated Deep Ensembles (NeurIPS Europe Meetup on Bayesian Deep Learning 2020)

Size: 1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

zmlabe/AntSeaIceVari

Large-scale atmospheric response to Antarctic sea ice loss

Language: Python - Size: 207 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

drmerlot/startml

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Language: R - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 0

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"

Language: Python - Size: 537 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

SamsungLabs/gps-augment

Simple but high-performing method for learning a policy of test-time augmentation

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 1

ck37/superlearner-guide

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

Language: HTML - Size: 2.28 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 37 - Forks: 9

mchamochin1/SDGs-interlinks-with-Climate-Change-Energy-Transition

Connecting the Sustainable Development Goals with climate change and the energy transition

Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

nastiag67/ecgn

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

Size: 57.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 4

zmlabe/SSTResponse

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

Language: Python - Size: 197 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 3

MUSC-TBIC/ots-ensemble-systems

Off-the-Shelf Ensemble Systems

Language: Python - Size: 161 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Thom-J-H/Capstone2_Harvard_edX

Testing 21 models (machine learning ensemble) on the WDBC data set

Language: HTML - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

cschen1205/cs-ensembles

Ensembles method implemented in C#

Language: C# - Size: 3.47 MB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

cschen1205/cs-decision-tree

Decision and Ensemble methods implemented in C#

Language: C# - Size: 248 KB - Last synced at: 15 days ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 2

joseangeldiazg/DataScience-Titanic

Repositorio que contiene los scripts y explicaciones en R para elaborar un estudio del data set Titanic por medio de un proceso de preprocesado de datos, regresión logística para la selección de variables y árboles de decisión. Prácticas de la asignatura Tratamiento Inteligente de Datos.

Language: R - Size: 4.48 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

Related Keywords
ensembles 40 machine-learning 10 deep-learning 6 boosting 5 pytorch 5 uncertainty 5 random-forest 5 ensemble-learning 4 python 4 bagging 3 xgboost 3 classification 3 decision-trees 3 ensemble 3 climate-change 3 climate-science 3 uncertainty-quantification 3 r 3 neural-networks 3 gradient-boosting 3 antarctica 2 binary-classification 2 stacking 2 climate-variability 2 panel-data 2 knn 2 randomforest 2 forecasting 2 automl 2 automated-machine-learning 2 post-hoc-ensembles 2 reproducibility 2 neural-network 2 logistic-regression 2 atmosphere 1 model-selection 1 distributed 1 ruptures 1 automatic 1 paper 1 boost 1 classification-algorithm 1 deep-neural-networks 1 devtools 1 gradient-boosting-machine 1 h2o 1 naive-bayes-classifier 1 regression 1 tree-augmented-naive-bayes 1 regression-algorithms 1 glm 1 knn-algorithm 1 boosted-trees 1 lasso-regression 1 linear-regression 1 bagging-trees 1 polynomial-regression 1 mc-dropout 1 laplace-approximation 1 randomf 1 bayesian-deep-learning 1 ridge-regression 1 trees 1 transfer-learning 1 spark-mllib 1 antarctic-sea-ice 1 spark 1 random-rotation 1 tsne 1 pipeline 1 random-effects 1 sdg 1 segmentation 1 sustainability 1 svr 1 transformation 1 cnn 1 data-science 1 lightgbm 1 lstm 1 arctic 1 polar-amplification 1 sea-surface-temperature 1 clinical-nlp 1 ensemble-classifier 1 nlp 1 nlp-machine-learning 1 ensemble-machine-learning 1 machine-learning-algorithms 1 wdbc 1 anomaly-detection 1 decision-tree 1 datascience 1 feature-selection 1 logistic-regresion 1 scripts 1 tsne-algorithm 1 tsne-plot 1 clearml 1 gridworld 1