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Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Zero and Few shot named entity & relationships recognition
中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！
超轻量级bert的pytorch版本，大量中文注释，容易修改结构，持续更新
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
Implementation of State-of-the-art Text Classification Models in Pytorch
BERT for Multitask Learning
Julia Implementation of Transformer models
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Minimalist NMT for educational purposes
Neural question generation using transformers
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
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
Transformers 库快速入门教程
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
we want to create a repo to illustrate usage of transformers in chinese
An Open-Source Framework for Prompt-Learning.
Chinese version of GPT2 training code, using BERT tokenizer.
BertViz: Visualize Attention in Transformer Models
Important paper implementations for Question Answering using PyTorch
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Natural Language Processing Tutorial for Deep Learning Researchers
24,535 repositories in the index in total.
