98 Open Source Ensemble Learning Software Projects
Free and open source ensemble learning code projects including engines, APIs, generators, and tools.
H2o 3 5701 ⭐
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.
Awesome Decision Tree Papers 1919 ⭐
A collection of research papers on decision, classification and regression trees with implementations.
Xcessiv 1264 ⭐
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Gcforest 1249 ⭐
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Ad_examples 735 ⭐
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 Machine Learning Tutorial 395 ⭐
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Awesome Imbalanced Learning 655 ⭐
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
Automlpipeline.jl 292 ⭐
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Youtube 8m 178 ⭐
The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
Pycobra 104 ⭐
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Handful Of Trials Pytorch 132 ⭐
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Self Paced Ensemble 168 ⭐
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
Deepbrainseg 125 ⭐
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
Predicting_real_estate_prices_using_scikit Learn 91 ⭐
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)
Tf Speech Recognition Challenge Solution 58 ⭐
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.
Bird_species_classification 59 ⭐
Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
Kaggle Competition Sberbank 31 ⭐
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Skin_lesions_classification_dcnns 39 ⭐
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Arboreto 32 ⭐
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
Fast Furious 18 ⭐
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Adaptiverandomforest 28 ⭐
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Enpls 15 ⭐
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Ensemble_adversarial_attack 25 ⭐
Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
Finding_donors 16 ⭐
Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree
Kaggle Covid19 Classification 20 ⭐
COVID-19 is an infectious disease. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020. X-ray machines are widely available and provide images for diagnosis quickly so chest X-ray images can be very useful in early diagnosis of COVID-19. In this classification project, there are three classes: COVID19, PNEUMONIA, and NORMAL
Most Used Ml Packages 17 ⭐
Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding
Ensemble Learning For Tweet Classification Of Hate Speech And Offensive Language 21 ⭐
Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting
Drtmle 13 ⭐
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Ensemble Of Multi Scale Cnn For Dermatoscopy Classification 22 ⭐
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.
Advanced Ml Techniques 14 ⭐
This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
Ensemble_dl_ransomware_detector 15 ⭐
A Deep Learning ensemble that classifies Windows executable files as either benign, ransomware, or other malware.
Ensemble Pytorch 381 ⭐
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Shapley 134 ⭐
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Pwpae Concept Drift Detection And Adaptation 100 ⭐
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.
Imbalanced Ensemble 74 ⭐
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
Mindware 34 ⭐
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Deep Learning Lie Detection 19 ⭐
Use machine learning models to detect lies based solely on acoustic speech information
Computer Vision Weightlifting Coach 20 ⭐
Analyzes weightlifting videos for correct posture using pose estimation with OpenCV
Gan Ensemble For Anomaly Detection 26 ⭐
This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
Mix Gan 18 ⭐
Some recent state-of-the-art generative models in ONE notebook: (MIX-)?(GAN|WGAN|BigGAN|MHingeGAN|AMGAN|StyleGAN|StyleGAN2)(\+ADA|\+CR|\+EMA|\+GP|\+R1|\+SA|\+SN)*
Meta Learning 20 ⭐
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
Mlfromscratch 14 ⭐
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.
Stacking Blending Voting Ensembles 16 ⭐
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.
Randomized Ensembled Double Q Learning Redq 13 ⭐
Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
Ensembling 11 ⭐
Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting
Machinelearning_exercises_python_scikit Learn 10 ⭐
Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き
Global Wheat Detction Kaggle 2020 10 ⭐
For the Kaggle Competition on object detection with same name. 1) models used are DETR, EfficientDet, YOLOv5, RetinaNet, FasterRCNN. 2) Ensemble inference using Weighted Box Fusion 3) Pseudo Learning to deal with smaller labeled datasets. 4) Mixup as an augmentation technique
Python Ml For Financial Applications 10 ⭐
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
Riadd.aucmedi 10 ⭐
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
Srcfs 10 ⭐
MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)
Interviews.ai 3204 ⭐
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.