ensemble-learning

There are 22 repositories under ensemble-learning topic.

autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning
Language:Python 7390
h2oai / h2o-3
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.
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca opensource distributed java python r hadoop spark gpu automl h2o-automl
Language:Jupyter Notebook 6779
MingchaoZhu / DeepLearning
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 deep-learning machine-learning xgboost ensemble-learning bayesian regularization
Language:Python 6164
BoltzmannEntropy / interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
4466
salesforce / Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series
Language:Python 3302
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Language:Python 2349
JuliaAI / MLJ.jl
A Julia machine learning framework
classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters
Language:Julia 1749
justmarkham / DAT8
General Assembly's 2015 Data Science course in Washington, DC
data-science machine-learning scikit-learn data-analysis pandas jupyter-notebook python course linear-regression logistic-regression model-evaluation naive-bayes natural-language-processing decision-trees ensemble-learning clustering regular-expressions web-scraping data-visualization data-cleaning
Language:Jupyter Notebook 1598
awesome-imbalanced-learning
ZhiningLiu1998 / awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
awesome awesome-list imbalanced-learning imbalanced-classification class-imbalance machine-learning ensemble-learning imbalanced-data deep-learning imbalanced-classes skewed-data fairness-ml fair-ml
1310
kingfengji / gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
deep-forest ensemble-learning machine-learning random-forest
Language:Python 1309
xcessiv
reiinakano / xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning
Language:Python 1266
TorchEnsemble-Community / Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier
Language:Python 1050
LAMDA-NJU / Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
machine-learning ensemble-learning deep-forest random-forest python
Language:Python 898
shubhomoydas / ad_examples
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.
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees unsuperivsed autoencoder streaming concept-drift generative-adversarial-network gan anogan graph-convolutional-networks adversarial-attacks nettack
Language:Python 838
flennerhag / mlens
ML-Ensemble – high performance ensemble learning
ensemble ensemble-learning ensembles learners machine-learning python stack stacking
Language:Python 837
Minqi824 / ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
anomaly-detection benchmark data-mining deep-learning machine-learning outlier-detection semi-supervised-learning supervised-learning unsupervised-learning data-sicence ensemble-learning neural-networks python
Language:Python 814
vecxoz / vecstack
Python package for stacking (machine learning technique)
bagging blending ensemble ensemble-learning ensembling explain-stacking machine-learning stacked-generalization stacking stacking-tutorial
Language:Python 685
yzhao062 / combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
machine-learning data-mining data-science ensemble-learning python model-combination aggregation pipeline-framework machine-learning-pipelines
Language:Python 637
scikit-learn-contrib / DESlib
A Python library for dynamic classifier and ensemble selection
ensemble-learning ensemble-selection ensemble-prediction dynamic-ensembles dynamic-selection diversity diversity-measures classifier-ensembles
Language:Python 473
kk7nc / RMDL
RMDL: Random Multimodel Deep Learning for Classification
classification cnn convolutional-neural-networks data-mining deep-learning deep-neural-networks dnn ensemble-learning image-classification information-retrieval keras machine-learning multimodel recurrent-neural-networks rnn tensorflow text-classification text-mining
Language:Python 417
ledell / useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r
Language:Jupyter Notebook 402
mdabros / SharpLearning
Machine learning for C# .Net
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation metrics dotnet machine learning opensource
Language:C# 377
Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 361
IBM / AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
pipeline pipeline-structure machine-learning automl symbolic-expressions data-mining julia scikitlearn-wrapper symbolic-pipeline pipeline-optimization ensemble-learning chaining stacking data-mining-algorithms data-science machine-learning-models classification
Language:HTML 354
DataCanvasIO / HyperGBM
A full pipeline AutoML tool for tabular data
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning preprocessing ensemble-learning tabular-data distributed-training dask gpu-acceleration dask-distributed rapidsai sklearn
Language:Python 324
imbalanced-ensemble
ZhiningLiu1998 / imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
machine-learning class-imbalance imbalanced-learning imbalanced-classification imbalanced-data ensemble-learning ensemble-model multi-class-classification long-tail classification scikit-learn python3 ensemble-imbalanced-learning sklearn python data-science data-mining ensemble
Language:Python 293
rickiepark / handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
autoencoder deep-learning deep-neural-networks ensemble-learning gradient-boosting machine-learning neural-network python random-forest recurrent-neural-networks reinforcement-learning scikit-learn svm tensorflow xgboost
Language:Jupyter Notebook 288
yzhao062 / awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
data-mining data-science ensemble-learning ensembling machine-learning
Language:Python 284
self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
imbalance-classification ensemble-learning imbalanced-learning imbalanced-data ensemble-methods machine-learning python3 ensemble ensemble-model classification pypi class-imbalance imbalanced-learn
Language:Python 247
moon-hotel / MachineLearningWithMe
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
machine-learning adaboost clustering machine-learning-algorithms naive-bayes python cart decision-tree-classifier kd-tree knn pca svm svm-classifier dbscan-clustering ensemble-learning gbdt hca hierarchical-clustering self-training
Language:Python 235
skggm / skggm
Scikit-learn compatible estimation of general graphical models
scikit-learn machine-learning graphical-models gaussian-graphical-models covariance-matrix ensemble-learning nonparametric rank-correlation general-graphical-models skggm graphical-lasso precision-matrix concentration-graph
Language:Python 235
ikki407 / stacking
Stacked Generalization (Ensemble Learning)
stacking ensemble-learning scikit-learn xgboost prediction ensemble
Language:Python 217
shapley
benedekrozemberczki / shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
shapley shapley-value owen voting-classifier machine-learning classifier random-forest random-forest-classifier explainable-ml explainable-ai ensemble ensemble-learning deep-learning voting-game game-theory game-theory-toolbox weighted-voting-games
Language:Python 215
Western-OC2-Lab / PWPAE-Concept-Drift-Detection-and-Adaptation
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
machine-learning anomaly-detection iot data-stream drift online-learning real-time-analytics concept-drift change-detector intrusion-detection-system cicids2017 drift-detection iot-data-analytics lightgbm adaptive-learning ensemble-learning streaming-data
Language:Jupyter Notebook 195
dice-group / FOX
Federated Knowledge Extraction Framework
named-entity-recognition ensemble-learning linked-data relation-extraction
Language:Java 187
atomai
pycroscopy / atomai
Deep and Machine Learning for Microscopy
microscopy materials machine-learning materials-science deep-learning multivariate-analysis fully-convolutional-networks variational-autoencoders ensemble-learning google-colaboratory jupyter-notebook pytorch semantic-segmentation electron-microscopy scanning-probe-microscopy deep-kernel-learning imaging
Language:Python 184

ensemble-learning

autogluon / autogluon

h2oai / h2o-3

MingchaoZhu / DeepLearning

BoltzmannEntropy / interviews.ai

salesforce / Merlion

benedekrozemberczki / awesome-decision-tree-papers

JuliaAI / MLJ.jl

justmarkham / DAT8

ZhiningLiu1998 / awesome-imbalanced-learning

kingfengji / gcForest

reiinakano / xcessiv

TorchEnsemble-Community / Ensemble-Pytorch

LAMDA-NJU / Deep-Forest

shubhomoydas / ad_examples

flennerhag / mlens

Minqi824 / ADBench

vecxoz / vecstack

yzhao062 / combo

scikit-learn-contrib / DESlib

kk7nc / RMDL

ledell / useR-machine-learning-tutorial

mdabros / SharpLearning

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

IBM / AutoMLPipeline.jl

DataCanvasIO / HyperGBM

ZhiningLiu1998 / imbalanced-ensemble

rickiepark / handson-ml

yzhao062 / awesome-ensemble-learning

ZhiningLiu1998 / self-paced-ensemble

moon-hotel / MachineLearningWithMe

skggm / skggm

ikki407 / stacking

benedekrozemberczki / shapley

Western-OC2-Lab / PWPAE-Concept-Drift-Detection-and-Adaptation

dice-group / FOX

pycroscopy / atomai