- 主流CTR预估模型的演化及对比
- YouTube DNN推荐:
- DNN论文分享 - Item2vec: Neural Item Embedding for Collaborative Filtering
- 《搜索与推荐中的深度学习匹配》之搜索篇
- 《搜索与推荐中的深度学习匹配》之推荐篇
- 推荐系统召回四模型之：全能的FM模型
- 有哪些好的sentence/paragraph Embedding方法？
- doc2vec
- item2vec
- node2vec snap-node2vec
- DeepWalk
- LINE
- SDNE
- EGES(Enhanced Graph Embedding with Side Information)
- GEM: Graph Embedding Methods
- DynamicGEM(实现了多个embedding的项目)
- 标签传播(LPA)
- lovain
- method
- infomap
- 莫烦python(https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
- https://github.com/ShangtongZhang/reinforcement-learning-an-introduction
- https://github.com/ShangtongZhang/reinforcement-learning-an-introduction
- tensor2tensor深度学习开源库, 包含了各种数据集和模型
- sklean
- GBDT
- Xgboost - java实现 xgboost-predictor-java
- LightGBM
- Ranklib 是一个开源的Learning To Rank工具包
- xLearn 是一个开源的FFM工具
- DeepLearning4J
- ImageNet
- ResNet50
- VGG16 、VGG19
- Inception V3
- Xception
- video2vec