There are 2 repositories under ensemble-model topic.
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
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
Open solution to the Toxic Comment Classification Challenge
NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
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.
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Use machine learning models to detect lies based solely on acoustic speech information
Open solution to the Santander Value Prediction Challenge :tropical_fish:
Ensemble RNN based neural network for ECG anomaly detection
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020
This repository contains supervised fake news detection on LIAR dataset. Check out the analysis details for more details.
Repository for studies on data visualization in weather/climate science
Feature selection method based on repeated elastic net.
Ensemble Neural Representation Networks
This repo includes classifier trained to distinct 7 type of skin lesions
Multiple Model Ensembling
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
Deep learning model for segmentation of lung in CXR
This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.
Build and evaluate several machine learning algorithms to predict credit risk.
Multi-label classification of various tree types
Soccer fixtures prediction model. Uses ensemble of different machine learning models to increase prediction accuracy.
Statoil/C-CORE Iceberg Classifier Challenge's codes
An ensembling based approach to grade severity of DR from fundus photographs
Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.