AmbitionC / Tianchi_DiabetesPredictLinks
天池大数据竞赛数据集&代码
☆12Updated 6 years ago
Alternatives and similar repositories for Tianchi_DiabetesPredict
Users that are interested in Tianchi_DiabetesPredict are comparing it to the libraries listed below
Sorting:
- AdaboostExample☆43Updated 5 years ago
- HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS☆170Updated 8 months ago
- ☆27Updated 6 years ago
- 2019科大讯飞工程机械赛题-亚军☆39Updated 5 years ago
- This repository is codeabout cnn with xgboost☆31Updated 7 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 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 7 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- Visualization CNN model by Keras.☆73Updated 6 years ago
- ☆13Updated 5 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆97Updated 6 years ago
- csdn上面的一些相关代码☆118Updated 5 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
- There are some reproduced algorithms for learning from imbalanced data, including over-sampling,under-sampling and boosting☆12Updated 2 years ago
- TensorFlow, classification☆7Updated 4 years ago
- cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…☆208Updated 4 years ago
- 深度学习代码☆132Updated 5 years ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- data augmentation on python☆35Updated 7 years ago
- ☆36Updated 6 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- 一个面向初学者的,友好的Keras入门教程☆123Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Updated 5 years ago
- 风机叶片开裂故障预警解决方案☆28Updated 6 years ago
- 使用LBP方法提取特征,再使用svm进行分类☆41Updated 8 years ago
- 用SVM支持向量机方法,经过LBP特征提取实现二分类☆10Updated 6 years ago
- 机器学习的特征工程,包括特征抽取、特征预处理、特征选择、特征降维。☆25Updated 6 years ago
- 异常检测☆159Updated 6 years ago
- 基于Keras的LSTM多变量时间序列预测☆179Updated 7 years ago