Tigeryang93 / cnn-with-xgboostLinks
This repository is codeabout cnn with xgboost
☆31Updated 7 years ago
Alternatives and similar repositories for cnn-with-xgboost
Users that are interested in cnn-with-xgboost are comparing it to the libraries listed below
Sorting:
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆97Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Updated 6 years ago
- Implementation of simple autoencoders networks with Keras☆243Updated 5 years ago
- Earthquake Prediction Challenge with LightGBM and XGBoost☆69Updated 6 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆108Updated 4 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- Implementation of AdaBoost algorithm in Python☆180Updated 9 years ago
- This paper is continuously updated with deep anomaly detection methods and their applications☆104Updated 6 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- attention-based LSTM/Dense implemented by Keras☆298Updated 7 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 years ago
- InfoGAN to generate temporal sequences.☆25Updated 6 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆46Updated 6 years ago
- A simple implementation of Transformer Encoder in keras. This repository also includes an example of Transformer as a classifier and its …☆16Updated 6 years ago
- Stacked Generalization (Ensemble Learning)☆224Updated 7 years ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆77Updated 6 months ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架☆259Updated last year
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- 《机器学习之类别不平衡问题》文章代码☆48Updated 6 years ago
- anomaly detection by one-class SVM☆89Updated 5 years ago
- ☆185Updated 7 years ago
- ☆144Updated 6 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- 异常检测☆160Updated 6 years ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆60Updated 7 years ago
- An example attention network with simple dataset.☆229Updated 6 years ago
- 通过科研人员论文项目等数据,训练识别导师/学生的分类器。代码包括特征选择基础、网格搜索确定特征选择方法参数、不平衡数据的处理(oversampling、undersampling)和pu-learning方法在此问题上的应用☆30Updated 6 years ago
- Stacking classification and regression☆25Updated 5 years ago