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
