zhenpingli/beam_search

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Created almost 3 years ago
Updated almost 3 years ago

zhenpingli/beam_search

zhenpingli

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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

multi-head-selft-attention-lstm

在sts数据集上用多头注意力机制上进行测试。 pytorch torchtext 代码简练，非常适合新手了解多头注意力机制的运作。不想transformer牵扯很多层 multi-head attention + one layer lstm

KGEL

Multi-hop Question Generation with Knowledge Graph-enhanced Language Model

transformer-with-annotation

transformer translation with annotation

auto_write_novel

自动依据小四小说生成新的小说

seq2seq_attention_numpy

use numpy implement the attetion model

numpy-lstm-

Jupyter Notebook

torchtext_demo

seq2seq_attention

numpy attention

numpy_gru

use the numpy to code the Gru RNN network step by step

entity-identification-dilated-conv-

entity identification dilated conv CNN 医药实体识别 Tensorflow Medical entity identification

Guiding-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 frame

argument-generation

back-propagation-iris

Dneural-argument-generation-maste

flexible-bp-network