Topic: ensemble-learning Goto Github

👇 Here are 974 public repositories matching this topic...

akash2907 / bird_species_classification
ensemble-learning,Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]
User: akash2907
Home Page: https://medium.com/@akash29/bird-species-classification-in-high-resolution-images-28a5885f94f2
cnn keras inception-resnet-v2 inceptionv3 mask-rcnn bird-species-classification image-classification ensemble-learning data-augmentation multi-stage-training

alan-turing-institute / mlj.jl
ensemble-learning,A Julia machine learning framework
Organization: alan-turing-institute
Home Page: https://alan-turing-institute.github.io/MLJ.jl/dev/
machine-learning julia pipelines tuning data-science tuning-parameters predictive-modeling classification regression statistics

autogluon / autogluon
ensemble-learning,Fast and Accurate ML in 3 Lines of Code
Organization: autogluon
Home Page: https://auto.gluon.ai/
automl machine-learning data-science deep-learning ensemble-learning computer-vision natural-language-processing structured-data object-detection gluon

benedekrozemberczki / awesome-decision-tree-papers
ensemble-learning,A collection of research papers on decision, classification and regression trees with implementations.
User: benedekrozemberczki
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost

benedekrozemberczki / shapley
ensemble-learning,The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
User: benedekrozemberczki
shapley shapley-value owen voting-classifier machine-learning classifier random-forest random-forest-classifier explainable-ml explainable-ai

bhargavvader / pycobra
ensemble-learning,python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
User: bhargavvader
machine-learning-algorithms machine-learning-library aggregation predictor voronoi-diagram visualization ensemble-learning python-library scikit-learn regression

boltzmannentropy / interviews.ai
ensemble-learning,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.
User: boltzmannentropy
data-science machine-learning deep-learning interview-preparation jobs artificial-intelligence pytorch-tutorial graduate-school pytorch python

business-science / modeltime.ensemble
ensemble-learning,Time Series Ensemble Forecasting
Organization: business-science
Home Page: https://business-science.github.io/modeltime.ensemble/
modeltime time time-series timeseries forecasting forecast ensemble ensemble-learning tidymodels stacking

chinmaynehate / dfspot-deepfake-recognition
ensemble-learning,Determine whether a given video sequence has been manipulated or synthetically generated
User: chinmaynehate
Home Page: https://colab.research.google.com/drive/1s0e0OO_Xcyw7S81s8GydTDtTQXJvJPpL?usp=sharing
deepfakes deepfakes-classification deep-learning deep-neural-networks siamese-network triplet-loss efficientnet ensemble-learning transfer-learning pytorch

datacanvasio / hypergbm
ensemble-learning,A full pipeline AutoML tool for tabular data
Organization: datacanvasio
Home Page: https://hypergbm.readthedocs.io/
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning

dice-group / fox
ensemble-learning,Federated Knowledge Extraction Framework
Organization: dice-group
named-entity-recognition ensemble-learning linked-data relation-extraction

dpys / pynets
ensemble-learning,A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
User: dpys
Home Page: https://pynets.readthedocs.io/en/latest/
workflow nipype dipy nilearn tractography fmri dmri ensemble-sampling networks brain-connectivity

flennerhag / mlens
ensemble-learning,ML-Ensemble – high performance ensemble learning
User: flennerhag
Home Page: http://ml-ensemble.com
ensemble-learning machine-learning ensemble learners stacking stack ensembles python

h2oai / h2o-3
ensemble-learning,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.
Organization: h2oai
Home Page: http://h2o.ai
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca

ibm / automlpipeline.jl
ensemble-learning,A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Organization: ibm
pipeline pipeline-structure machine-learning automl symbolic-expressions data-mining julia scikitlearn-wrapper symbolic-pipeline pipeline-optimization

ibm / tsml.jl
ensemble-learning,A package for time series data processing, classification, clustering, and prediction.
Organization: ibm
time-series-data-mining machine-learning-api ensemble-learning data-processing-system julia-package data-workflow

ikki407 / stacking
ensemble-learning,Stacked Generalization (Ensemble Learning)
User: ikki407
stacking ensemble-learning scikit-learn xgboost prediction ensemble

justmarkham / dat8
ensemble-learning,General Assembly's 2015 Data Science course in Washington, DC
User: justmarkham
data-science machine-learning scikit-learn data-analysis pandas jupyter-notebook python course linear-regression logistic-regression

kingfengji / gcforest
ensemble-learning,This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
User: kingfengji
Home Page: http://lamda.nju.edu.cn/code_gcForest.ashx
deep-forest ensemble-learning machine-learning random-forest

kk7nc / rmdl
ensemble-learning,RMDL: Random Multimodel Deep Learning for Classification
User: kk7nc
Home Page: https://rmdl.readthedocs.io/
classification ensemble-learning data-mining deep-learning text-classification image-classification text-mining tensorflow keras deep-neural-networks multimodel convolutional-neural-networks recurrent-neural-networks information-retrieval cnn rnn dnn machine-learning

koriavinash1 / deepbrainseg
ensemble-learning,Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
User: koriavinash1
biomedical-image-analysis deep-learning brats ensemble-learning deep-convolutional-neural-networks brain-tumor-segmentation segmentation artificial-intelligence medical-image-analysis brain-segmentation

lamda-nju / deep-forest
ensemble-learning,An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Organization: lamda-nju
Home Page: https://deep-forest.readthedocs.io
machine-learning ensemble-learning deep-forest random-forest python

ledell / user-machine-learning-tutorial
ensemble-learning,useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
User: ledell
machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r

levyben / deepsuperlearner
ensemble-learning,DeepSuperLearner - Python implementation of the deep ensemble algorithm
User: levyben
machine-learning ensemble-learning classification-algorithm

mamcose / nsl-kdd-network-intrusion-detection
ensemble-learning,Machine Learning Algorithms on NSL-KDD dataset
Organization: mamcose
nsl-kdd-dataset random-forest k-nearest-neighbors support-vector-machines ensemble-learning machine-learning validation

mbkraus / predicting_real_estate_prices_using_scikit-learn
ensemble-learning,Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
User: mbkraus
amsterdam decision-trees ensemble-learning knn knn-regression lasso lasso-regression machine-learning mlp-regressor multi-layer-perceptron neural-network ols polynomial polynomial-regression predicting-housing-prices python random-forest real-estate ridge-regression xgboost

mdabros / sharplearning
ensemble-learning,Machine learning for C# .Net
User: mdabros
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation

mingchaozhu / deeplearning
ensemble-learning,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
User: mingchaozhu
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

minqi824 / adbench
ensemble-learning,Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
User: minqi824
anomaly-detection benchmark data-mining deep-learning machine-learning outlier-detection semi-supervised-learning supervised-learning unsupervised-learning data-sicence

mlr-org / mlr3pipelines
ensemble-learning,Dataflow Programming for Machine Learning in R
Organization: mlr-org
Home Page: https://mlr3pipelines.mlr-org.com/
mlr3 machine-learning pipelines preprocessing bagging stacking ensemble-learning r dataflow-programming r-package

moon-hotel / machinelearningwithme
ensemble-learning,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
User: moon-hotel
machine-learning adaboost clustering machine-learning-algorithms naive-bayes python cart decision-tree-classifier kd-tree knn

pycroscopy / atomai
ensemble-learning,Deep and Machine Learning for Microscopy
Organization: pycroscopy
Home Page: https://atomai.readthedocs.io/
microscopy materials machine-learning materials-science deep-learning multivariate-analysis fully-convolutional-networks variational-autoencoders ensemble-learning google-colaboratory

quanvuong / handful-of-trials-pytorch
ensemble-learning,Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
User: quanvuong
model-based-rl model-based-reinforcement-learning ensemble-learning reinforcement-learning probabilistic-models

reiinakano / xcessiv
ensemble-learning,A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
User: reiinakano
Home Page: http://xcessiv.readthedocs.io
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning

salesforce / merlion
ensemble-learning,Merlion: A Machine Learning Framework for Time Series Intelligence
Organization: salesforce
time-series anomaly-detection forecasting machine-learning benchmarking automl ensemble-learning

scikit-learn-contrib / deslib
ensemble-learning,A Python library for dynamic classifier and ensemble selection
Organization: scikit-learn-contrib
ensemble-learning ensemble-selection ensemble-prediction dynamic-ensembles dynamic-selection diversity diversity-measures classifier-ensembles

shubhomoydas / ad_examples
ensemble-learning,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.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

skggm / skggm
ensemble-learning,Scikit-learn compatible estimation of general graphical models
Organization: skggm
Home Page: https://skggm.github.io/skggm/tour
scikit-learn machine-learning graphical-models gaussian-graphical-models covariance-matrix ensemble-learning nonparametric rank-correlation general-graphical-models skggm

tlverse / sl3
ensemble-learning,💪 🤔 Modern Super Learning with Machine Learning Pipelines
Organization: tlverse
Home Page: https://tlverse.org/sl3/
machine-learning ensemble-learning ensemble-model model-selection stacking r r-package regression data-science statistics

torchensemble-community / ensemble-pytorch
ensemble-learning,A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Organization: torchensemble-community
Home Page: https://ensemble-pytorch.readthedocs.io
pytorch pytorch-tutorial ensemble-learning ensemble deeplearning neural-networks deep-learning gradient-boosting voting-classifier bagging

vecxoz / vecstack
ensemble-learning,Python package for stacking (machine learning technique)
User: vecxoz
stacking stacked-generalization explain-stacking stacking-tutorial blending bagging ensembling ensemble ensemble-learning machine-learning

wangheda / youtube-8m
ensemble-learning,The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
User: wangheda
Home Page: https://arxiv.org/abs/1706.05150
youtube-8m video-understanding computer-vision deep-learning ensemble-learning tensorflow

western-oc2-lab / intrusion-detection-system-using-cnn-and-transfer-learning
ensemble-learning,Code for intrusion detection system (IDS) development using CNN models and transfer learning
Organization: western-oc2-lab
machine-learning deep-learning cnn convolutional-neural-networks transfer-learning ensemble-learning hyperparameter-optimization cyber-security can-bus connected-vehicle

western-oc2-lab / intrusion-detection-system-using-machine-learning
ensemble-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..)
Organization: western-oc2-lab
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection

western-oc2-lab / pwpae-concept-drift-detection-and-adaptation
ensemble-learning,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.
Organization: western-oc2-lab
machine-learning anomaly-detection iot data-stream drift online-learning real-time-analytics concept-drift change-detector intrusion-detection-system

yzhao062 / awesome-ensemble-learning
ensemble-learning,Ensemble learning related books, papers, videos, and toolboxes
User: yzhao062
machine-learning data-mining ensemble-learning ensembling data-science

yzhao062 / combo
ensemble-learning,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
User: yzhao062
Home Page: https://pycombo.readthedocs.io
machine-learning data-mining data-science ensemble-learning python model-combination aggregation pipeline-framework machine-learning-pipelines

zhiningliu1998 / awesome-imbalanced-learning
ensemble-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
User: zhiningliu1998
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

zhiningliu1998 / imbalanced-ensemble
ensemble-learning,Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
User: zhiningliu1998
Home Page: https://imbalanced-ensemble.readthedocs.io
machine-learning class-imbalance imbalanced-learning imbalanced-classification imbalanced-data ensemble-learning ensemble-model multi-class-classification long-tail classification

zhiningliu1998 / self-paced-ensemble
ensemble-learning,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
User: zhiningliu1998
Home Page: https://arxiv.org/abs/1909.03500v3
imbalance-classification ensemble-learning imbalanced-learning imbalanced-data ensemble-methods machine-learning python3 ensemble ensemble-model classification