beyondguo / Learn_PyTorch
learn jiu wan shier l
☆52Updated 3 years ago
Alternatives and similar repositories for Learn_PyTorch:
Users that are interested in Learn_PyTorch are comparing it to the libraries listed below
- WoBERT_pytorch☆40Updated 4 years ago
- ☆57Updated 2 years ago
- 句子匹配模型,包括无监督的SimCSE、ESimCSE、PromptBERT,和有监督的SBERT、CoSENT。☆99Updated 2 years ago
- SinglepassTextCluster, an TextCluster tools based on Singlepass cluster algorithm that use tfidf vector and doc2vec,which can be used for…☆62Updated 3 years ago
- This repository implements a prompt tuning model for hierarchical text classification. This work has been accepted as the long paper "HPT…☆66Updated last year
- 中文机器阅读理解数据集☆103Updated 4 years ago
- 记录NLP、CV、搜索、推荐等AI岗位最新情况。☆29Updated 2 years ago
- Summary and comparison of Chinese classification models☆34Updated 2 years ago
- 继续预训练中文bert☆30Updated 3 years ago
- ☆32Updated 3 years ago
- SimCSE有监督与无监督实验复现☆149Updated last year
- P-tuning方法在中文上的简单实验☆139Updated 4 years ago
- 文本智能校对大赛(Chinese Text Correction)的baseline☆67Updated 2 years ago
- 中文无监督SimCSE Pytorch实现☆134Updated 3 years ago
- 中文bigbird预训练模型☆91Updated 2 years ago
- 中文数据集下SimCSE+ESimCSE的实现☆192Updated 2 years ago
- ACL-2022 paper: Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.☆38Updated 3 years ago
- 文本分类baseline:BERT、半监督学习UDA、对抗学习、数据增强☆102Updated 4 years ago
- GAIIC2022商品标题实体识别Baseline,使用GlobalPointer实现,线上0.80349☆53Updated 3 years ago
- 真 · “Deep Learning for Humans”☆141Updated 3 years ago
- 基于pytorch的百度UIE命 名实体识别。☆56Updated 2 years ago
- 论文模型复现☆42Updated 2 years ago
- experiments of some semantic matching models and comparison of experimental results.☆161Updated last year
- [TALLIP] General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining☆58Updated last year
- This repository stores the code of the data augmentation method from Chinese word and character levels, which adds noise to words and cha…☆18Updated 2 years ago
- RelExt: A Tool for Relation Extraction from Text. 文本实体关系抽取工具。☆50Updated 2 years ago
- CCL 2022 汉语学习者文本纠错评测☆140Updated 2 years ago
- ☆87Updated 3 years ago
- ☆39Updated 3 years ago
- ☆33Updated 2 years ago