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)

✭ 78

python machine-learning neural-network xgboost random-forest decision-trees ensemble-learning

Gcforest

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

✭ 1,214

python machine-learning random-forest ensemble-learning

Mlj.jl

A Julia machine learning framework

✭ 982

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

Mlens

ML-Ensemble – high performance ensemble learning

✭ 680

python machine-learning stack ensemble-learning stacking

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.

✭ 641

python gan streaming lstm generative-adversarial-network time-series rnn timeseries anomaly-detection autoencoder interpretability ensemble-learning

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.

✭ 5,656

python java r Jupyter Notebook HTML CSS deep-learning machine-learning data-science gpu spark opensource big-data distributed hadoop automl random-forest multi-threading ensemble-learning pca h2o naive-bayes gbm

Vecstack

Python package for stacking (machine learning technique)

✭ 587

python machine-learning ensemble-learning stacking

Deep Forest

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

✭ 547

python machine-learning random-forest ensemble-learning

Combo

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

✭ 481

python machine-learning data-science data-mining ensemble-learning

Awesome Imbalanced Learning

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

✭ 442

machine-learning awesome awesome-list ensemble-learning

User Machine Learning Tutorial

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

✭ 393

r jupyter-notebook deep-learning machine-learning tutorial data-science random-forest ensemble-learning

Rmdl

RMDL: Random Multimodel Deep Learning for Classification

✭ 375

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

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

✭ 4,020

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

Deslib

A Python library for dynamic classifier and ensemble selection

✭ 316

python ensemble-learning diversity

Autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

Sharplearning

Machine learning for C# .Net

✭ 294

csharp deep-learning machine-learning dotnet learning metrics opensource random-forest machine decision-trees ensemble-learning

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

✭ 2,368

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

mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

✭ 34

python data-science machine-learning automation deep-learning pypi hyperparameter-optimization ensemble-learning machinelearning feature-engineering bayesian-optimization hyperparameter-tuning automl automated-machine-learning machine-learning-models machine-learning-projects machinelearning-python automl-algorithms

HyperGBM

A full pipeline AutoML tool for tabular data

✭ 172

python Dockerfile tabular-data xgboost semi-supervised-learning gbm lightgbm ensemble-learning dask preprocessing automl distributed-training datacleaning catboost pseudo-labeling fullpipeline adversarial-validation automl-pipeline-selection

GAN-Ensemble-for-Anomaly-Detection

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

✭ 26

python shell generative-adversarial-network ensemble-learning anomaly-detection

Ensemble-Pytorch

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

✭ 407

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

AdaptiveRandomForest

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

✭ 28

java random-forest classification ensemble ensemble-learning decision-trees concept-drift moa datastream

Kaggle-Competition-Sberbank

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

✭ 31

python machine-learning kaggle xgboost lightgbm ensemble-learning regression-models

sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

✭ 93

javascript r HTML CSS data-science machine-learning statistics regression model-selection ensemble-learning r-package ensemble-model stacking

arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

✭ 33

Jupyter Notebook machine-learning scalable random-forest network inference gene-regulation ensemble-learning dask gradient-boosting

bird species classification

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

✭ 59

python keras cnn image-classification ensemble-learning inceptionv3 data-augmentation mask-rcnn bird-species-classification inception-resnet-v2 multi-stage-training imagenet-models rcnn-crops

atomai

Deep and Machine Learning for Microscopy

✭ 77

python machine-learning deep-learning materials jupyter-notebook pytorch ensemble-learning electron-microscopy materials-science microscopy semantic-segmentation fully-convolutional-networks multivariate-analysis variational-autoencoders deep-kernel-learning scanning-probe-microscopy google-colaboratory

subsemble

subsemble R package for ensemble learning on subsets of data

✭ 40

r machine-learning big-data machine-learning-algorithms cross-validation ensemble ensemble-learning

Machine-learning-toolkits-with-python

Machine learning toolkits with Python

✭ 31

Jupyter Notebook python bootstrap machine-learning metrics scikit-learn evaluation cross-validation ensemble ensemble-learning roc grid-search

mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

✭ 34

distributed-systems data-science machine-learning deep-learning ensemble-learning bayesian-optimization neural-architecture-search meta-learning hyper-parameter-optimization blackbox-optimization automl-algorithms automl-pipeline knobs-tuning

Deep-Vessel

kgpml.github.io/deep-vessel/

✭ 52

Jupyter Notebook python convnet ensemble ensemble-learning convolutional-neural-networks blood-vessels diabetic retinopathy angiography

drtmle

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

✭ 14

r Makefile tmle iptw statistical-inference ensemble-learning causal-inference

Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

✭ 25

Jupyter Notebook python deep-learning ensemble-learning densenet convolutional-neural-networks binary-classification inception-v3 senet multi-scale seresnext cyclic-learning-rate skin-lesion-classification shades-of-gray tensorflow-keras color-constancy efficientnet

handson-ml

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

✭ 285

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

modeltime.ensemble

Time Series Ensemble Forecasting

✭ 65

r time timeseries time-series forecast forecasting ensemble ensemble-learning r-package stacking tidymodels stacking-ensemble modeltime

survtmle

Targeted Learning for Survival Analysis

✭ 18

r Jupyter Notebook tmle survival-analysis ensemble-learning competing-risks

stackgbm

🌳 Stacked Gradient Boosting Machines

✭ 24

r machine-learning xgboost gbdt gbm lightgbm ensemble-learning decision-trees gradient-boosting catboost model-stacking

pycobra

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

✭ 111

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

Skin Lesions Classification DCNNs

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

✭ 47

Jupyter Notebook computer-vision imagenet image-classification ensemble-learning densenet transfer-learning vgg16 inceptionv3 inception-resnet biomedical-image-processing fine-tuning skin-cancer skin-lesion-classification

PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

✭ 114

python workflow optimization networkx ensemble-learning networks fmri decision-trees nilearn fuzzy-logic multiverse brain-connectivity tractography nipype dipy gridsearch graph-neural-networks dmri ensemble-sampling

imbalanced-ensemble

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

✭ 199

python data-science machine-learning data-mining scikit-learn sklearn classification ensemble ensemble-learning class-imbalance ensemble-model imbalanced-data imbalanced-learning long-tail multi-class-classification imbalanced-classification ensemble-imbalanced-learning

TF-Speech-Recognition-Challenge-Solution

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

✭ 58

Jupyter Notebook python shell raspberry-pi deep-learning neural-network tensorflow scikit-learn speech recurrent-neural-networks speech-recognition ensemble-learning convolutional-neural-networks audio-recognition

Stacking-Blending-Voting-Ensembles

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

✭ 34

python machine-learning voting ensemble-learning ensemble-model stacking blending ensemble-classifier ensemble-machine-learning stacking-ensemble

1-57 of 57 ensemble-learning projects