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KGEL
Multi-hop Question Generation with Knowledge Graph-enhanced Language Modeltransformer-with-annotation
transformer translation with annotationauto_write_novel
自动依据小四小说生成新的小说seq2seq_attention_numpy
use numpy implement the attetion modelnumpy-lstm-
torchtext_demo
seq2seq_attention
numpy attentionnumpy_gru
use the numpy to code the Gru RNN network step by stepentity-identification-dilated-conv-
entity identification dilated conv CNN 医药实体识别 Tensorflow Medical entity identificationGuiding-the-Growth-Difficulty-Controllable-Question-Generation-through-Step-by-Step-Rewriting
Second collation of paper <Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting>neural-network
pytorch-openai-transformer-lm-master
this is a base structure of gpt ,for easy to understand withou complex frameargument-generation
beam_search
beam_search 算法python 版本,便于在pytorch中进行更改,优点是可以使用batch_size=1,对于复杂架构的input格式不用repeat数据back-propagation-iris
Dneural-argument-generation-maste
flexible-bp-network
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