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ensemble-learning x

94 search results found

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

H2o 3 ⭐ 6,618

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.

Interviews.ai ⭐ 3,146

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.

Deeplearning ⭐ 2,347

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

Awesome Decision Tree Papers ⭐ 2,266

A collection of research papers on decision, classification and regression trees with implementations.

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

Gcforest ⭐ 1,242

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

Xcessiv ⭐ 1,232

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Deep Forest ⭐ 823

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

ML-Ensemble – high performance ensemble learning

Ensemble Pytorch ⭐ 774

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

Ad_examples ⭐ 738

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.

Adbench ⭐ 609

Official Implement of "ADBench: Anomaly Detection Benchmark".

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

Vecstack ⭐ 551

Python package for stacking (machine learning technique)

A Python library for dynamic classifier and ensemble selection

RMDL: Random Multimodel Deep Learning for Classification

Hypergbm ⭐ 306

A full pipeline AutoML tool for tabular data

Handson Ml ⭐ 277

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

Imbalanced Ensemble ⭐ 234

Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库

Scikit-learn compatible estimation of general graphical models

Self Paced Ensemble ⭐ 217

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

Shapley ⭐ 198

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Machinelearningwithme ⭐ 191

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

Deepbrainseg ⭐ 167

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Youtube 8m ⭐ 166

The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

Deep and Machine Learning for Microscopy

The Data Science Workshop ⭐ 156

A New, Interactive Approach to Learning Data Science

Handful Of Trials Pytorch ⭐ 156

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Stacking ⭐ 153

Stacked Generalization (Ensemble Learning)

Awesome Ensemble Learning ⭐ 129

Ensemble learning related books, papers, videos, and toolboxes

Deepsuperlearner ⭐ 126

DeepSuperLearner - Python implementation of the deep ensemble algorithm

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

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

Dfspot Deepfake Recognition ⭐ 66

Determine whether a given video sequence has been manipulated or synthetically generated

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

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)

Mindware ⭐ 54

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

Boosting and ensemble learning in Python.

Bird_species_classification ⭐ 34

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

Ensemble Methods Notebooks ⭐ 28

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

Arboreto ⭐ 27

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

Machine Learning Toolkits With Python ⭐ 26

Machine learning toolkits with Python

Kaggle Competition Sberbank ⭐ 26

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

Rewardshifting ⭐ 20

Code for paper Exploiting Reward Shifting in Value-Based Deep RL

Ensemble ⭐ 20

Combine models, easily. 🚀

Arabicner ⭐ 19

Arabic NER system with a strong performance

Deepforest ⭐ 17

upgrade official version of gcForest v1.0.

Cusboost ⭐ 16

Riadd.aucmedi ⭐ 16

Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models

Stacking Blending Voting Ensembles ⭐ 15

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.

Gan Ensemble For Anomaly Detection ⭐ 15

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

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

Mindware ⭐ 14

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

Winning Solution Expresso Churn Prediction Challenge By Dsn ⭐ 12

Hackathon Solution for the Expresso Churn Prediction Challenge by Data Science Nigeria

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Amex Default Prediction ⭐ 12

Kaggle Competition

Federated Learning Framework

Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Workshop

Deep and machine learning for atomic-scale and mesoscale data

Ensemble Learning For Tweet Classification Of Hate Speech And Offensive Language ⭐ 10

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

Ensemble_adversarial_attack ⭐ 10

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

Tweetsentimentanalysis ⭐ 10

CS583 course project

Classicml ⭐ 10

简单易用的经典机器学习框架

Power Usage Predict ⭐ 10

🥉2023 Power Consumption Prediction AI Competition🥉

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Interactive ML Toolset

Ensemble Gnn ⭐ 9

Ensemble learning with graph neural networks for disease module discovery and classification

Ensemble_dl_ransomware_detector ⭐ 9

A Deep Learning ensemble that classifies Windows executable files as either benign, ransomware, or other malware.

Mars_express__esn ⭐ 9

Tackling ESA's Mars Express Power Challenge with Echo State Networks

Optiver Prediction ⭐ 9

kaggle competition

Ensemblebench ⭐ 9

A holistic framework for promoting high diversity ensemble learning.

Machinelearning_exercises_python_scikit Learn ⭐ 8

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

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Graphensemblelearning ⭐ 8

Graph Representation Ensemble Learning

Jobcare Recommendation ⭐ 8

🥉잡케어 추천 알고리즘 경진대회🥉

Writing Quality ⭐ 8

🥉Linking Writing Processes to Writing Quality🥉

Heart Disease Model ⭐ 7

We build models for heart disease prediction using scikit-learn and keras. Based on the 'Cleveland Dataset' available on kaggle.

Corona_ct_classification ⭐ 7

Predict Delinquency ⭐ 7

🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆

Cxrabnormalitylocalization ⭐ 7

🫁 Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks

An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks

Rl_library ⭐ 6

An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.

Python machine learning library using powerful numerical optimization methods.

Gradient Boosted Neural Network

Intro to machine learning using Iris dataset.

Federated_survival_forests ⭐ 5

Federated Learning with Random Survival Forests.

RuleCOSI is a machine learning package that combine and simplifies tree ensembles and generates a single rule-based classifier that is smaller and simpler.

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

Duplebalance ⭐ 5

DuBE: Duple-balanced Ensemble Learning from Skewed Data

Course projects and notes of undergraduate courses in NJUAI

Simple Simultaneous Ensemble Learning in Genetic Programming

An autoML for explainable text classification.

A simplified implement of Adaptive boosting.

Spatio Temporal Ensemble Deep Learning ⭐ 5

Ensemble of deep learning models using Spatio-temporal patterns in data

Covid Chestxray Lambda Fuzzy ⭐ 5

Official Python implementation of IEEE JBHI 2021 paper: "Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images"

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