Zhengmx27 / CNN-Feature-ExtractionLinks
CNN 用来对向量进行特征提取，向量可以是文本的embedding、社交网络节点的embedding、图片等
☆12Updated 5 years ago
Alternatives and similar repositories for CNN-Feature-Extraction
Users that are interested in CNN-Feature-Extraction are comparing it to the libraries listed below
Sorting:
- A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.☆10Updated 8 years ago
- 用Tensorflow实现深度学习模型和迁移学习模型☆15Updated 5 years ago
- 支持向量机，Support Vector Machine(SVM)，多类分类☆32Updated 9 years ago
- 利用深度RBM构建多分类模型☆19Updated 10 years ago
- 天池智慧交通预测挑战赛 - 比赛经历分享☆15Updated 8 years ago
- 分类类别不平衡，解决办法：采样(SMOTE和算法集成技术等)、阈值移动、调整代价或权重，附带信用卡诈骗案例☆21Updated 6 years ago
- 基于CNN和RNN的高光谱分类☆20Updated 6 years ago
- Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support V…☆38Updated 6 years ago
- 图网络，深度学习，☆21Updated 4 years ago
- 使用 tensorflow2.0 实现图卷积神经网络GCN☆21Updated 5 years ago
- keras注意力机制☆19Updated 7 years ago
- Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network☆32Updated 3 years ago
- 常用的特征选择方法☆67Updated 3 years ago
- SLPA社区发现算法☆25Updated 8 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 7 years ago
- locally linear embedding algorithm code write by matlab☆33Updated 9 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 7 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 7 years ago
- The tensorflow code of the paper"Dual-Graph Convolutional Network Based on Band Attention and Sparse Constraint for Hyperspectral Band Se…☆14Updated 4 years ago
- 数据预处理之缺失值处理，特征选择☆22Updated 6 years ago
- 项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》，使用Python语言实现FCM算法及其扩展算法，包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。☆67Updated 6 years ago
- 基于SVM的简单机器学习分类，可以使用svm, knn, 朴素贝叶斯，决策树四种机器学习方法进行分类☆126Updated 3 years ago
- 基于注意力机制的疾病诊断预测模型☆17Updated 7 years ago
- Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks☆13Updated 5 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- 机器学习预测模型，分别用逻辑回归，决策树，随机森林，神经网络，XGBOOST和支持向量机算法建模，交叉验证，并选出AUC最优的模型。特征工程优化后，AUC值达到0.8259☆56Updated 5 years ago
- 高光谱图像分类☆31Updated 6 years ago
- 依据广西81个县早稻、晚稻作物4年产量的相关历史数据，结合4年气象降雨、温度、光照、温差等气象数据，一方面探索广西各地区气象环境局部特征，构建未来气象预测系统，另一方面挖掘气象和水稻产量的关系，构建因地制宜精准产量预测模型。☆15Updated 6 years ago
- Kaggle竞赛题目Sentiment Analysis on Movie Reviews实现: LSTM, RF, etc☆11Updated 3 years ago
- Hypergraph Structured Deep Auto-encoders for Hyperspectral Image Clustering and Semi-Supervised Classification☆27Updated 4 years ago