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example_of_lightgbm icon example_of_lightgbm

A simple example of machine learning using lightgbm which includes data preprocessing, feature selection, parameter optimization and model bagging.

garbage-classification icon garbage-classification

基于 Pytorch 的垃圾识别与分类。本项目源于浙江大学光电学院课程设计。

garbage_classify icon garbage_classify

本文新增添分类，检测，换脸技术等学习教程，各种调参技巧和tricks，卷积结构详细解析可视化，注意力机制代码等详解！本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略，后续还会继续更新新的分类技巧。

learningskill icon learningskill

日常练习，包括基础算法，深度学习，强化学习，机器学习，遗传算法，opencv等的demo

lightgbm_plot icon lightgbm_plot

An extension to lightgbm plot module to make interpretable and useful lightgbm tree models

ml-nids-for-scada icon ml-nids-for-scada

In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concrete industrial used case scenario.

scada icon scada

Contains Rapid SCADA sources

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