ai_learning#

This project includes some small examples of machine learning and deep learning

Examples by Models

Machine Translation

In the translation directory

• [seq2seq_english_translation]: Traditional machine translation constructs use GRU-AttentionGRU models
• [T2TBaseline]: The tensor2tensor baseline model, which is simple, is going to be able to train machine translation models very quickly
• [tensor2tensor_translation]: the advanced version of the tensor2tensor model, you can define your own problems and use your own vocabulary

Text Style Transfer

In the ctrl-model directory

• [text_style_transfer]: Discriminator supervision for controlled text generation

NER

In the crf and deepnlp directory

• [crf]: this is a simple CRF example for the NER task
• [deepnlp]: three different models are provided to do the NER task

Toy

• [crawler]: Simple crawler making
• [data_process]: Simple vocab making and tfrecord making