A fast and flexible keyboard launcher

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

State of the Art Natural Language Processing

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

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

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

A Lite Bert For Self-Supervised Learning Language Representations

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

使用预训练语言模型ALBERT做中文NER

The S3PRL speech toolkit: self-supervised pre-training and representation learning of Mockingjay, TERA, A-ALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch!)

Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

ALBERT model Pretraining and Fine Tuning using TF2.0

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

C++ model train&inference framework

Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

CLUE baseline pytorch CLUE的pytorch版本基线

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT