jasoncao11 /nlp-notebook
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Python532
distill-bert 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.
Summary of NLP work to automate construction management for non-compliance, punch list, and database creation.
Token Classification in essay level, paragraph level and sentence level with BERT, DistillBERT and NER
Mood based music recommendation system powered by AI and data analysis