Embeddings
dpressel/mint
MinT: Minimal Transformer Library and Tutorials
🧠 Natural Language Processing
Pythonno licenseupdated Jul 26, 2022
sentence-transformers to onnx 让sbert模型推理效率更快
$ git clone https://github.com/yuanzhoulvpi2017/quick_sentence_transformers.gitMinT: Minimal Transformer Library and Tutorials
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
▲ +20 ★ this week
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
▲ +1 ★ this week
Top2Vec learns jointly embedded topic, document and word vectors.
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
Data from GitHub · snapshot Nov 13, 2026