ruozhichen / deep_learning
☆12Updated 3 years ago
Alternatives and similar repositories for deep_learning:
Users that are interested in deep_learning are comparing it to the libraries listed below
- Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型☆10Updated 3 years ago
- 智源 - 看山杯 专家发现算法大赛 2019 7th (https://www.biendata.com/competition/zhihu2019/)☆23Updated 5 years ago
- 学习并复现经典的推荐系统多目标任务，如：SharedBottom、ESMM、MMoE、PLE☆33Updated 2 years ago
- 2019年知乎看山杯专家发现算法大赛第六名完整解决方案☆39Updated 5 years ago
- 计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)☆16Updated 11 months ago
- 推荐系统实战☆33Updated 4 years ago
- huawei digix 2020 competition baselines for ctr & recommand☆18Updated 4 years ago
- A simple start for collaborative filtering.☆18Updated 3 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 5 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆65Updated 4 years ago
- 推荐系统排序模型复现☆44Updated 4 years ago
- MMoE-TF2.0☆28Updated 4 years ago
- code of our WWW 2022 paper Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction☆28Updated 2 years ago
- tensorflow2.0 实现的 DCN (Deep & Cross Network) ，使用 Criteo 子数据集加以实践。☆15Updated 4 years ago
- rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。☆43Updated 4 years ago
- wide deep ctr model by pytorch☆26Updated 5 years ago
- tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- A Multi-View DSSM for Recommendation System with tensorflow estimator.☆11Updated 4 years ago
- 一些CTR模型和常见特征工程的方法☆26Updated 3 years ago
- 2019年知乎看山杯第四名☆35Updated 5 years ago
- ctr、cvr预估☆49Updated 3 years ago
- Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）☆29Updated last month
- 2021 微信大数据挑战赛 复赛Rank23☆27Updated 3 years ago
- keras implementation about Deep Interest Network☆63Updated 5 years ago
- ☆62Updated last year
- ☆39Updated last month
- ☆52Updated 4 years ago