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Bert预训练数据准备细节.md
Bert预训练数据准备细节.md
 
 
Deep Learning for Natural Language Processing with Pytorch.ipynb
Deep Learning for Natural Language Processing with Pytorch.ipynb
 
 
Graph Attention Networks
Graph Attention Networks
 
 
Linux 装不上en_core_web_sm
Linux 装不上en_core_web_sm
 
 
README.md
README.md
 
 
RNN输出结构图.jfif
RNN输出结构图.jfif
 
 
SQUAD数据预处理
SQUAD数据预处理
 
 
SQUAD数据预处理工具代码
SQUAD数据预处理工具代码
 
 
TextCNN_code.py
TextCNN_code.py
 
 
Torchtext解析Pytorch RNN梳理.md
Torchtext解析Pytorch RNN梳理.md
 
 
bert_finetune.py
bert_finetune.py
 
 
child-tuning in adapter
child-tuning in adapter
 
 
early_stop_code
early_stop_code
 
 
list_to_str
list_to_str
 
 
loss_KL.py
loss_KL.py
 
 
numpy教程.md
numpy教程.md
 
 
numpy数组从argmin()找到行列坐标
numpy数组从argmin()找到行列坐标
 
 
pycharm 远程文件不同步
pycharm 远程文件不同步
 
 
pytorch使用哪块GPU代码
pytorch使用哪块GPU代码
 
 
pytorch安装版本
pytorch安装版本
 
 
pytorch常见代码结合
pytorch常见代码结合
 
 
sorted
sorted
 
 
text_to_word_dict.py
text_to_word_dict.py
 
 
torchtext_practice.ipynb
torchtext_practice.ipynb
 
 
train.albert.config
train.albert.config
 
 
train_albert.py
train_albert.py
 
 
train_albert_distill.py
train_albert_distill.py
 
 
train_albert_last_layer.py
train_albert_last_layer.py
 
 
train_albert_other.py
train_albert_other.py
 
 
utils.py
utils.py
 
 
“Question_Answering_with_a_Fine_Tuned_BERT_ipynb”的副本.ipynb
“Question_Answering_with_a_Fine_Tuned_BERT_ipynb”的副本.ipynb
 
 
使用Pytorch 实现的简单的transformer模型.md
使用Pytorch 实现的简单的transformer模型.md
 
 
常见linux命令
常见linux命令
 
 
找numpy数组中非负最小值
找numpy数组中非负最小值
 
 
文章分词.py
文章分词.py
 
 

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tool_code

这是常见的Python工具代码

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这是常见的Python工具代码

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