wepe / dive-into-ml-systemLinks
Dive into machine learning system, start from reinventing the wheel.
☆231Updated 7 years ago
Alternatives and similar repositories for dive-into-ml-system
Users that are interested in dive-into-ml-system are comparing it to the libraries listed below
Sorting:
- 第一届腾讯社交广告高校算法大赛(全国14名)☆231Updated 7 years ago
- This 2018 IJCAI alimama Top3 Code☆292Updated 7 years ago
- This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.☆293Updated 6 years ago
- Tiny Gradient Boosting Tree☆321Updated 6 years ago
- Tencent Social Ads 2017 contest rank 20☆158Updated 7 years ago
- 用户预订售卖房型概率预测--top1☆141Updated 8 years ago
- Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest☆370Updated 7 years ago
- kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge☆58Updated 7 years ago
- ☆203Updated 7 years ago
- 高效决策树算法系列笔记☆230Updated 6 years ago
- 算法相关的各种论文和slides☆42Updated 6 years ago
- It is a list for ML/DL/DM competitions.☆85Updated 7 years ago
- 1st place solution for the Tianchi wifi positioning competition☆136Updated 4 years ago
- This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。☆361Updated 6 years ago
- 将SVD应用于推荐系统中的评分预测问题☆187Updated 10 years ago
- xgboost 源码分析☆31Updated 8 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆68Updated 7 years ago
- Summary of getting a silver medal in kaggle☆151Updated 7 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆87Updated 7 years ago
- The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.☆309Updated 6 years ago
- 2017第一届腾讯社交广告高校算法大赛Rank28_code☆85Updated 8 years ago
- JData京东算法大赛入门程序☆264Updated 8 years ago
- LR、FM model solved by ftrl and sgd parallel on MPI☆111Updated 7 years ago
- 京东JData大数据比赛第13名的user模型☆71Updated 8 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆107Updated 7 years ago
- 基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)☆208Updated 7 years ago
- 2018 KDD Cup Top1 Solutions☆186Updated 6 years ago
- kaggle:Two Sigma Connect: Rental Listing Inquiries--top1☆128Updated 4 years ago
- 1st place solution for the Kuaishou Active-user Forecast competition☆191Updated 6 years ago
- IJCAI-17 口碑商家客流量预测☆102Updated 8 years ago