面向集群调度器的广义精确深度学习模型性能预测器
A Generalized and Accurate Deep Learning Models Performance Predictor towards Cluster Schedulers (2024-03-19, Python, 0KB, 下载0次)
KNN分类器
KNN Classifier (2023-12-10, Python, 0KB, 下载0次)
RandomForest分类器的变量
VariantOfRandomForestClassifier (2023-12-05, Python, 0KB, 下载0次)
knn分类器
knn classifier (2023-11-12, Python, 0KB, 下载0次)
鱼类transformer.使用视觉transformer对荷兰淡水鱼进行自动分类，
Fishion Transformers - Automatic classification of freshwater fish in the Netherlands using Vision Transformers, (2023-10-18, Python, 0KB, 下载0次)
具有不同ML方法的射电源分类器（CNN、自动编码器、决策树、聚类），
Radio source classifier with different ML methods (CNN, autoencoders, decision trees, clustering), (2023-08-12, Python, 0KB, 下载0次)
快速文本拼写检查器，，
FastText-Spell-Checker,, (2019-05-13, Python, 70731KB, 下载0次)
句子相似性预测器，，
SentenceSimilarityPredictor,, (2019-08-08, Python, 8352KB, 下载0次)
基于朴素贝叶斯分类器的歌词分类器的简单实现
simple implementation of song lyrics classifier using Naive Bayes classifier (2019-10-03, Python, 651KB, 下载0次)
增强决策树分类器，随机森林分类器，朴素贝叶斯实现
Boosted Decision Tree Classifier, Random Forest Classifier, Naive Bayes Implementation (2016-08-17, Python, 649KB, 下载0次)
随机森林分类器，，
Random-Forest-Classifier,, (2022-02-06, Python, 5KB, 下载0次)
随机森林包装器
Random Forest Wrapper (2015-05-17, Python, 7KB, 下载0次)
随机森林分类器和决策丛林分类器的快速教育实现。
A quick educational implementation of a random forest classifier and a decsion jungle classifier. (2015-03-11, Python, 564KB, 下载0次)
决策树&随机森林分类器和回归器
decision tree & random forest classifier and regressor (2020-07-09, Python, 2249KB, 下载0次)
决策树分类器，，
Decision-Tree-Classifier,, (2018-08-21, Python, 1KB, 下载0次)
决策树分类器，，
decision-tree-classifier,, (2018-03-30, Python, 3KB, 下载0次)
决策树分类器，，
Decision-Tree-Classifier,, (2023-03-31, Python, 14KB, 下载0次)
决策树分类器
Decision Tree Classifier (2023-03-21, Python, 0KB, 下载0次)
kNN预测器
a kNN predictor (2018-10-14, Python, 1KB, 下载0次)
不同的py文件包含不同的机器学习分类器算法，包括逻辑分类器、模糊分类器和模糊分类器...
Different py files contain the different machine learning classifier algorithms which include logistic classifier, support vector machine classifier, K-NN algorithm, random forest classifier, decision tree classifier, naive Bayes algorithm. All these algorithms are used on a data set (Social_Network_Ads.csv) which contains 3 columns (age, (2021-12-04, Python, 12KB, 下载0次)