kwaiDA / KwaiSurvivalLinks
☆72Updated 4 years ago
Alternatives and similar repositories for KwaiSurvival
Users that are interested in KwaiSurvival are comparing it to the libraries listed below
Sorting:
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…☆143Updated 4 years ago
- 因果推理&AB实验相关论文小书库☆238Updated 2 years ago
- Trained model and inference code for early triage of critically-ill COVID-19 patients.☆95Updated 5 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆97Updated last year
- A practical feature engineering handbook☆331Updated 5 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算 法方案排名第三)☆87Updated 6 years ago
- 利用Encoder对二分类任务的序列数据进行概率预测☆51Updated 5 years ago
- ☆40Updated 4 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆35Updated 3 years ago
- COX Proportional risk model and survival analysis implemented by tensorflow.☆103Updated 4 years ago
- 第三届 Apache Flink 极客挑战赛暨AAIG CUP——电商推荐“抱大腿”攻击识 别亚军代码方案☆29Updated 3 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆145Updated 2 years ago
- mtgbmcode☆174Updated 3 years ago
- Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles☆94Updated 8 years ago
- 🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge☆118Updated 5 years ago
- 因果推断相关论文、书籍☆53Updated 4 years ago
- 1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge☆187Updated 5 years ago
- ESC Team's credit scorecard tools.☆511Updated 6 months ago
- Features selector based on the self selected-algorithm, loss function and validation method☆681Updated 6 years ago
- ☆34Updated 3 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 5 years ago
- Experiments in positive-unlabeled learning☆124Updated 7 years ago
- 《智能风控实践指南:从模型、特征到决策》代码。 《智能风控实践指南:从模型、特征到决策》书籍配套Python代码。☆117Updated 3 years ago
- 2019厦门国际银行“数创金融杯”数据建模大赛☆25Updated 4 years 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
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆255Updated 5 years ago
- This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosti…☆33Updated 6 years ago