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

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

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: 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

A Lite Bert For Self-Supervised Learning Language Representations

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

a fast and user-friendly runtime for transformer inference on CPU and GPU

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

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

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

使用预训练语言模型ALBERT做中文NER

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

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)

C++ model train&inference framework

ALBERT model Pretraining and Fine Tuning using TF2.0

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

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)

Official implementation of the S3PRL toolkit: self-supervised pre-training of Mockingjay, TERA, AALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch)

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

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

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

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

🐧 Configuration files

CLUE baseline pytorch CLUE的pytorch版本基线

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

A Lite BERT