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

Python package for stacking (machine learning technique)

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

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

TextSentimentClassification, using tensorflow.

Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting

Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)

简单易用的经典机器学习框架

Analysis and Prediction of Poker Hand Strength

FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.

Text classification with Machine Learning and Mealpy

Breast Cancer Detection with Decision trees Algorithm And Bagging Normalizing

Introduction to tree models with Python

MachineLearning

Code to reproduce figures of Debeire, K., Runge, J., Gerhardus, A., Eyring, V. (2024). Bootstrap aggregation and confidence measures to improve time series causal discovery

A web-based and machine-learning fostered prototype tool to find your best financial investment portfolio

Optimising parameters for multiple machine learning algorithms using grid search cv