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ensemble-learning

Here are 390 public repositories matching this topic...

h2oai / h2o-3

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Updated Dec 30, 2020
Jupyter Notebook

MingchaoZhu / DeepLearning

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Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

python machine-learning deep-learning xgboost ensemble-learning bayesian regularization

Updated Jun 23, 2020
Python

awslabs / autogluon

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Open

resuming training

9

redhood95 commented Sep 14, 2020

How do i resume training for text classification?

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enhancement good first issue help wanted nlp

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Plotting for model performance metrics (ROC curve, AUC, Precision-Recall)?

3

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Dec 21, 2020
Python

justmarkham / DAT8

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General Assembly's 2015 Data Science course in Washington, DC

python data-science machine-learning natural-language-processing course clustering naive-bayes linear-regression scikit-learn jupyter-notebook pandas data-visualization web-scraping data-analysis ensemble-learning logistic-regression decision-trees regular-expressions data-cleaning model-evaluation

Updated Apr 18, 2016
Jupyter Notebook

xcessiv

reiinakano / xcessiv

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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

data-science machine-learning scikit-learn hyperparameter-optimization ensemble-learning automated-machine-learning stacked-ensembles

Updated Jun 6, 2018
Python

kingfengji / gcForest

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This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

machine-learning random-forest ensemble-learning deep-forest

Updated Jul 25, 2020
Python

alan-turing-institute / MLJ.jl

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Open

No more symbols in CategoricalArrays

ablaom commented Nov 4, 2020

The PR JuliaData/CategoricalArrays.jl#310 means that an array with elements of type Symbol can no longer be wrapped as a CategoricalArray.

This means all MLJ documentation and test code that uses symbols in categorical data must be refactored to use strings instead.

These repos, at least, need checking/refactoring, in order of priority:

MLJ
[x]

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docs easy good first issue testing

flennerhag / mlens

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ML-Ensemble – high performance ensemble learning

python machine-learning stack ensemble ensemble-learning ensembles learners stacking

Updated Feb 25, 2020
Python

shubhomoydas / ad_examples

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack

Updated Sep 25, 2020
Python

vecxoz / vecstack

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Python package for stacking (machine learning technique)

machine-learning ensemble ensemble-learning stacking bagging blending stacked-generalization explain-stacking stacking-tutorial ensembling

Updated Sep 14, 2020
Python

yzhao062 / combo

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A Python Toolbox for Machine Learning Model Combination

python data-science machine-learning data-mining pipeline-framework ensemble-learning aggregation machine-learning-pipelines model-combination

Updated Dec 23, 2020
Python

ledell / useR-machine-learning-tutorial

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useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science machine-learning tutorial r deep-learning random-forest gradient-boosting-machine ensemble-learning

Updated Mar 5, 2018
Jupyter Notebook

ZhiningLiu1998 / awesome-imbalanced-learning

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A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

machine-learning awesome ensemble-learning awesome-list class-imbalance imbalanced-data imbalanced-learning imbalanced-classification

Updated Dec 22, 2020

kk7nc / RMDL

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RMDL: Random Multimodel Deep Learning for Classification

machine-learning information-retrieval text-mining data-mining deep-neural-networks deep-learning text-classification tensorflow keras cnn dnn recurrent-neural-networks classification rnn image-classification ensemble-learning convolutional-neural-networks multimodel

Updated Dec 7, 2020
Python

scikit-learn-contrib / DESlib

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A Python library for dynamic classifier and ensemble selection

diversity ensemble-learning ensemble-prediction ensemble-selection diversity-measures dynamic-ensembles classifier-ensembles dynamic-selection

Updated Dec 6, 2020
Python

mdabros / SharpLearning

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Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Dec 27, 2020
C#

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

IBM / AutoMLPipeline.jl

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A package that makes it trivial to create and evaluate machine learning pipeline architectures.

data-science machine-learning data-mining pipeline julia classification ensemble-learning data-mining-algorithms symbolic-expressions automl stacking chaining machine-learning-models pipeline-optimization pipeline-structure scikitlearn-wrapper symbolic-pipeline

Updated Nov 18, 2020
Julia

yzhao062 / awesome-ensemble-learning

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Ensemble learning related books, papers, videos, and toolboxes

data-science machine-learning data-mining ensemble-learning ensembling

Updated Oct 18, 2019
Python

skggm / skggm

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Scikit-learn compatible estimation of general graphical models

machine-learning scikit-learn ensemble-learning graphical-models covariance-matrix nonparametric gaussian-graphical-models graphical-lasso rank-correlation precision-matrix general-graphical-models skggm concentration-graph

Updated Dec 24, 2020
Python

wangheda / youtube-8m

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The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

computer-vision deep-learning tensorflow ensemble-learning youtube-8m video-understanding

Updated Sep 19, 2017
Python

ikki407 / stacking

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Stacked Generalization (Ensemble Learning)

scikit-learn prediction xgboost ensemble ensemble-learning stacking

Updated Dec 21, 2017
Python

dice-group / FOX

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Federated Knowledge Extraction Framework

linked-data named-entity-recognition ensemble-learning relation-extraction

Updated Jun 17, 2020
Java

levyben / DeepSuperLearner

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DeepSuperLearner - Python implementation of the deep ensemble algorithm

machine-learning ensemble-learning classification-algorithm

Updated Jun 22, 2018
Python

quanvuong / handful-of-trials-pytorch

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Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

reinforcement-learning ensemble-learning probabilistic-models model-based-rl model-based-reinforcement-learning

Updated Nov 13, 2020
Python

xuyxu / Ensemble-Pytorch

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Implementations of Scikit-Learn like ensemble methods in Pytorch to boost your model

pytorch neural-networks ensemble ensemble-learning deeplearning pytorch-tutorial

Updated Dec 29, 2020
Python

self-paced-ensemble

ZhiningLiu1998 / self-paced-ensemble

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ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

machine-learning python3 ensemble-learning imbalanced-data imbalanced-learning ensemble-methods imbalance-classification

Updated Oct 26, 2020
Python

dPys / PyNets

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A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

workflow metrics optimization data-frame networkx ensemble-learning networks dmn fmri connectomics nilearn covariance graph-analysis brain-connectivity tractography nipype gaussian-graphical-models structural-connectomes dipy gridsearch dmri ensemble-sampling functional-connectomes

Updated Dec 29, 2020
Python

bhargavvader / pycobra

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python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

visualization scikit-learn python-library machine-learning-algorithms visualisation regression classification ensemble-learning machine-learning-library voronoi-diagram aggregation predictor

Updated May 18, 2020
Python

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