A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
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Updated
Jun 16, 2024 - Python
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 example repo for how PU Bagging and TSA works.
An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
TextSentimentClassification, using tensorflow.
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting
简单易用的经典机器学习框架
FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.
Analysis and Prediction of Poker Hand Strength
Text classification with Machine Learning and Mealpy
Introduction to tree models with Python
Breast Cancer Detection with Decision trees Algorithm And Bagging Normalizing
MachineLearning
A web-based and machine-learning fostered prototype tool to find your best financial investment portfolio
Usage of the UOB algorithm in the unbalanced static data streams processing - Academic Project
Machine Learning - Decision tree model implementation from scratch
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