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simplifies code by using high-level TF interfaces: tf.layers, tf.data, tf.estimator;
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produces lots of clean Notebooks to make life easy;
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can be tested with CPU;
- Word Embedding(词向量)
- Text Classification(文本分类)
- Text Generation(文本生成)
- Text Matching(文本匹配)
- Sequence Labelling(序列标记)
- Sequence to Sequence(序列到序列)
- Question Answering(问题回答)
- Knowledge Graph(知识图谱)
- TensorFlow Detail(TensorFlow 细节)
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Python 3 and Jupyter Notebook are required
(CPU User) $ pip3 install tensorflow sklearn scipy bunch tqdm wget (GPU User) $ pip3 install tensorflow-gpu sklearn scipy bunch tqdm wget
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IMDB Movie Reviews Sentiment(电影评论情感分类)
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Language Model(语言模型)
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Speech Recognition(语音识别)
- CTC Notebook
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POS Tagging(词性识别)
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Chinese Segmentation(中文分词)
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Learning to Sort(机器排序)
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Learning to Dialog(机器对话)
- Transformer Notebook
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Learning to Reconstruct(重建句子)
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Learning to Control(定向重建句子)
- VAE + Discriminator Folder
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Link Prediction(关系预测)
- DistMult Notebook (WN18)
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Loading Data (导入数据)
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Project Template(项目模版)