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ensemble-learning

Here are 1,001 public repositories matching this topic...

autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

Updated Apr 26, 2024
Python

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.

Updated Apr 27, 2024
Jupyter Notebook

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

Updated Jun 23, 2020
Python

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.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax

Updated Jan 21, 2022

salesforce / Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

benchmarking machine-learning time-series forecasting ensemble-learning automl anomaly-detection

Updated Apr 18, 2024
Python

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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 Mar 16, 2024
Python

alan-turing-institute / MLJ.jl

A Julia machine learning framework

data-science machine-learning statistics pipeline clustering julia pipelines regression tuning classification ensemble-learning predictive-modeling tuning-parameters stacking

Updated Apr 24, 2024
Julia

justmarkham / DAT8

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

Updated Oct 6, 2022
Jupyter Notebook

kingfengji / gcForest

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 Feb 4, 2021
Python

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

machine-learning awesome deep-learning ensemble-learning awesome-list class-imbalance imbalanced-data imbalanced-learning skewed-data fairness-ml imbalanced-classes imbalanced-classification fair-ml

Updated Apr 26, 2024

xcessiv

reiinakano / xcessiv

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

TorchEnsemble-Community / Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

deep-learning pytorch neural-networks ensemble ensemble-learning deeplearning gradient-boosting pytorch-tutorial bagging voting-classifier

Updated Apr 22, 2024
Python

LAMDA-NJU / Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

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

Updated Apr 16, 2023
Python

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 Convol…

Updated Mar 24, 2023
Python

flennerhag / mlens

ML-Ensemble – high performance ensemble learning

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

Updated Nov 13, 2023
Python

Minqi824 / ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

python benchmark machine-learning data-mining deep-learning neural-networks supervised-learning semi-supervised-learning ensemble-learning outlier-detection unsupervised-learning anomaly-detection data-sicence

Updated Aug 2, 2023
Python

vecxoz / vecstack

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

(AAAI' 20) 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 Jan 14, 2023
Python

scikit-learn-contrib / DESlib

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 Apr 15, 2024
Python

kk7nc / RMDL

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 May 16, 2023
Python

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