ensemble-learning

There are 17 repositories under ensemble-learning topic.

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 multi-threading java python r hadoop spark gpu automl
Language:Jupyter Notebook 5831
awslabs / autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning gluon hyperparameter-optimization image-classification machine-learning mxnet natural-language-processing neural-architecture-search object-detection pytorch scikit-learn structured-data tabular-data transfer-learning
Language:Python 4510
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
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost
Language:Python 4483
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.
data-science machine-learning deep-learning interview-preparation jobs artificial-intelligence pytorch-tutorial graduate-school pytorch python jax autograd information-theory bayesian-statistics convolutional-neural-networks ensemble-learning feature-extraction logistic-regression loss-functions
3744
salesforce / Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series
Language:Python 2474
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 1979
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 1536
alan-turing-institute / 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 1398
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 1266
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 1261
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 class-imbalance deep-learning ensemble-learning fair-ml fairness-ml imbalanced-classes imbalanced-classification imbalanced-data imbalanced-learning machine-learning skewed-data
767
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 765
LAMDA-NJU / Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
deep-forest ensemble-learning machine-learning python random-forest
Language:Python 758
flennerhag / mlens
ML-Ensemble – high performance ensemble learning
ensemble-learning machine-learning ensemble learners stacking stack ensembles python
Language:Python 738
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 657
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 579
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 444
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 401
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 401
ledell / useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial
Language:Jupyter Notebook 397
mdabros / SharpLearning
Machine learning for C# .Net
adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest
Language:C# 323
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:TeX 304
rickiepark / handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
deep-learning machine-learning tensorflow scikit-learn python neural-network recurrent-neural-networks reinforcement-learning autoencoder deep-neural-networks ensemble-learning svm random-forest gradient-boosting xgboost
Language:Jupyter Notebook 279
yzhao062 / awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
machine-learning data-mining ensemble-learning ensembling data-science
Language:Python 235
skggm / skggm
Scikit-learn compatible estimation of general graphical models
concentration-graph covariance-matrix ensemble-learning gaussian-graphical-models general-graphical-models graphical-lasso graphical-models machine-learning nonparametric precision-matrix rank-correlation scikit-learn skggm
Language:Python 205
DataCanvasIO / HyperGBM
A full pipeline AutoML tool for tabular data
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning automl-pipeline-selection datacleaning preprocessing ensemble-learning tabular-data distributed-training dask
Language:Python 195
self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
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
class-imbalance classification ensemble ensemble-learning ensemble-methods ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning machine-learning pypi python3
Language:Python 190
ikki407 / stacking
Stacked Generalization (Ensemble Learning)
stacking ensemble-learning scikit-learn xgboost prediction ensemble
Language:Python 182
wangheda / youtube-8m
The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
computer-vision deep-learning ensemble-learning tensorflow video-understanding youtube-8m
Language:Python 179
dice-group / FOX
Federated Knowledge Extraction Framework
ensemble-learning linked-data named-entity-recognition relation-extraction
Language:Java 165
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 163
quanvuong / handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
model-based-rl model-based-reinforcement-learning ensemble-learning reinforcement-learning probabilistic-models
Language:Python 148
Western-OC2-Lab / PWPAE-Concept-Drift-Detection-and-Adaptation
Data stream analytics: Implement online learning methods to address concept 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" accepted 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 145
levyben / DeepSuperLearner
DeepSuperLearner - Python implementation of the deep ensemble algorithm
machine-learning ensemble-learning classification-algorithm
Language:Python 134
DeepBrainSeg
koriavinash1 / DeepBrainSeg
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
artificial-intelligence biomedical-image-analysis brain-segmentation brain-tumor brain-tumor-segmentation brats deep-convolutional-neural-networks deep-learning ensemble-learning medical-image-analysis segmentation
Language:Python 131
mlr3pipelines
mlr-org / mlr3pipelines
Dataflow Programming for Machine Learning in R
bagging data-science dataflow-programming ensemble-learning machine-learning mlr3 pipelines preprocessing r r-package stacking
Language:R 115

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machine-learning data-science classification clustering deep-learning