iseesaw / MachineLearningLinks
机器学习部分算法实现,分类、聚类、回归(LR、Kmeans、GMM、PCA)
☆11Updated 6 years ago
Alternatives and similar repositories for MachineLearning
Users that are interested in MachineLearning are comparing it to the libraries listed below
Sorting:
- LSTM和SVM实现设备故障诊断☆50Updated 6 years ago
- bp 神经网络算法☆128Updated 2 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜 索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 8 years ago
- 基于Python实现了K-Means、GMM、DBSCAN、AGNES等四种常见的聚类算法☆71Updated 6 years ago
- 使用libsvm和遗传算法优化支持向量机的cost和gamma参数☆33Updated 13 years ago
- 包含一些比较常见的数据挖掘竞赛或者项目的源码☆129Updated 6 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆79Updated 7 years ago
- 机器学习练习,使用SVM、随机森林、Adaboost算法训练 102 flower 训练集 得到特征提取☆35Updated 8 years ago
- Support Vector Regression☆57Updated 7 years ago
- 记录小润了解的各种机器学习算法的实现以及基础概念,包括有监督学习,无监督学习,分类,聚类,回归;神经元模型,多层感知器,BP算法;损失函数,激活函数,梯度下降法;全连接网络、卷积神经网络、递归神经网络;训练集,测试集,交叉验证,欠拟合,过拟合;数据规范化等☆158Updated 9 years ago
- ☆27Updated 7 years ago
- Python code of RBF neural network classification model☆47Updated 7 years ago
- 这是我的毕业设计,本人本科机械,但是读直博到计算机,所以毕业设计双向都有涉及。权当是练手之作了,请勿见笑☆83Updated 7 years ago
- BLS Code☆134Updated 7 years ago
- 本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现☆52Updated 7 years ago
- 智能优化算法☆28Updated 6 years ago
- 差分进化算法的python实现☆23Updated 10 years ago
- here is the introduce of bls☆73Updated 4 years ago
- Weighted LSSVM for regression☆37Updated 7 years ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆204Updated 7 years ago
- QPSO algorithm for multi-parameters optimization☆31Updated 7 years ago
- 基于深度学习机械设备故障诊断模型☆173Updated 8 years ago
- 用Python实现SVM多分类器☆435Updated last year
- 支持向量机,Support Vector Machine(SVM),多类分类☆32Updated 9 years ago
- 廖星宇深度学习入门之pytorch第一版书中代码实现☆11Updated 7 years ago
- Machine learning project, Master's Data Science, 2017☆10Updated 8 years ago
- Deep Autoencoder with Extreme Learning Machines☆14Updated 4 years ago
- 基于LSTM的电力负荷预测☆166Updated 7 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆85Updated 6 years ago
- 感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...☆128Updated 11 years ago