KunWangR's starred repositories
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
keras-trans-mask
Remove and restore masks for layers that do not support masking
ColossalAI
Making large AI models cheaper, faster and more accessible
Recognizers-Text
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
soft-masked-bert-for-spelling-error-correction
A third-party implementation of paper《Spelling Error Correction with Soft-Masked BERT》using tensorflow==1.12.0
Deep-Learning-with-PyTorch-Quick-Start-Guide
Deep Learning with PyTorch Quick Start Guide, published by Packt
Roformer_Simlarity
基于Roformer的文本相似度
stopwords-iso
All languages stopwords collection
faiss_note
faiss wiki in chinese.
Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
MetaDialog
Platform for few-shot natural language processing: Text Classification, Sequene Labeling.
FewShots_NER
Token level baseline
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Keras-FewShotLearning
Some State-of-the-Art few shot learning algorithms in tensorflow 2
few_shot_learning
classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network
Induction-Network-on-FewRel
An attempt at replicating the Induction Network for FewRel data in Tensorflow
ChineseNLPCorpus
中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。
Lattice-ELMo
Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"
ELMo-keras
Re-implementation of ELMo on Keras