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Aladdin_SUN/FuzzyClassificator forked from Andrew940/FuzzyClassificator

This program uses neural networks to solve classification problems, and uses fuzzy sets and fuzzy logic to interpreting results. [WARNING] The development is frozen here and moved to the Open DevOps community: https://github.com/devopshq/FuzzyClassificator. See article about math in FuzzyClassificator (russian):

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Aladdin_SUN/Open-Set-Recognition forked from jcxuhz/Open-Set-Recognition

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Aladdin_SUN/Deep_Openset_Recognition_through_Uncertainty forked from Silence/Deep_Openset_Recognition_through_Uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

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Aladdin_SUN/incremental-label-propagation forked from 张土土/incremental-label-propagation

Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification

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Aladdin_SUN/Defect-Detection-in-Nanofibers-by-Image-Classification forked from Mike_W/Defect-Detection-in-Nanofibers-by-Image-Classification

本项目探讨扫描电子显微镜（SEM）影像中缺陷区域的侦测。这些图像是用来监测纳米纤维的生产的。图片包含在以下文件中（Carrera2016）。扫描电镜图像有异常。此外，我们还获得了图像的基本真实性，也计算在（Carrera2016）中。 到目前为止，在（Carrera2016）中，他们将该问题作为异常检测问题来处理，而没有在学习（即培训）阶段利用任何缺陷区域的示例。因此，本计画的目标是将缺陷侦测问题作为两类分类问题来处理，其中测试影像被分割成小块（小平方区域），每个小块被分类为正常/异常。总共有46幅图像，其中40幅包含异常，6幅是完全正常的图像。

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Aladdin_SUN/tribuo

Java

forked from Gitee 极速下载/tribuo

Tribuo 是 Java 编写的机器学习库，可提供多类分类、回归、聚类、异常检测和多标签分类