A fast and flexible keyboard launcher
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Updated
Dec 6, 2024 - C
A fast and flexible keyboard launcher
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
🤖 A PyTorch library of curated Transformer models and their composable components
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
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(scientif…
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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