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

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Snapshot Ensemble in Keras

[ICDE'20] ⚖️ A general, efficient 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.

💪 🤔 Modern Super Learning with Machine Learning Pipelines

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.

Use machine learning models to detect lies based solely on acoustic speech information

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Semi-supervised anomaly detection method

Ensemble RNN based neural network for ECG anomaly detection

Open solution to the Santander Value Prediction Challenge 🐠

AICUP 2024 Cross-camera Multiple-object tracking

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"

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.