recommend by normalizing flow

environment

VAE, MAF, IAF, CAF是根据论文复现，FULL Model是将全部内容整理到了一起。代码主体都在flow.py里。

dataset是mnist和movielen，在dataset解读里有对数据的preprocessing。

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.gitattributes		.gitattributes
CAF-Copy1.ipynb		CAF-Copy1.ipynb
CAF.ipynb		CAF.ipynb
CAF_item-batch64-latent64-flow7.ipynb		CAF_item-batch64-latent64-flow7.ipynb
CAF_user-batch64-latent64-flow7.ipynb		CAF_user-batch64-latent64-flow7.ipynb
Full Model.ipynb		Full Model.ipynb
Full Model_tag128dim，3000.ipynb		Full Model_tag128dim，3000.ipynb
IAF by subclass api.ipynb		IAF by subclass api.ipynb
IAF v1.ipynb		IAF v1.ipynb
LICENSE		LICENSE
MADE.ipynb		MADE.ipynb
MAF by subclass api.ipynb		MAF by subclass api.ipynb
MAF.ipynb		MAF.ipynb
MAF示例代码.ipynb		MAF示例代码.ipynb
README.md		README.md
Recommend system.ipynb		Recommend system.ipynb
VAE的TF2实现.ipynb		VAE的TF2实现.ipynb
autoencoder的TF2实现-Copy1.ipynb		autoencoder的TF2实现-Copy1.ipynb
dataset解读.ipynb		dataset解读.ipynb
flows.py		flows.py
new dataset CAF-num_flow=5.ipynb		new dataset CAF-num_flow=5.ipynb
new dataset CAF.ipynb		new dataset CAF.ipynb