guoziqingbupt / Locality-sensitive-hashing
min-hash and p-stable hash
☆103Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for Locality-sensitive-hashing
- MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding、graph,etc☆86Updated last year
- 数据科学竞赛实战☆162Updated 9 months ago
- summarized the api usage of tensorflow☆30Updated last year
- ☆260Updated 5 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆105Updated 6 years ago
- A fast Python implementation of locality sensitive hashing.☆661Updated 4 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆88Updated 6 years ago
- A simple DeepFM.☆101Updated 6 years ago
- qq2018spa☆30Updated 6 years ago
- report reading paper list☆92Updated 5 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆131Updated 5 years ago
- Sharing of the second-place solution in Tianchi OGeek competition.☆22Updated last week
- code of scattered practices when studying "machine-learning".☆92Updated 4 years ago
- ☆46Updated 4 years ago
- Bytedance_ICME2019_challenge_baseline☆145Updated 2 years ago
- ☆202Updated 6 years ago
- Basic Deep Learning☆36Updated 5 years ago
- Learn tensorflow tf.data API☆26Updated 6 years ago
- keras implementation about Deep Interest Network☆63Updated 5 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 6 years ago
- kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge☆59Updated 6 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆169Updated 3 years ago
- 将SVD应用于推荐系统中的评分预测问题☆187Updated 9 years ago
- 将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现☆55Updated 5 years ago
- ☆91Updated 6 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。☆358Updated 5 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆68Updated 6 years ago
- Implement Wide & Deep algorithm by using NumPy☆150Updated 5 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆117Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆234Updated 4 years ago