Build and train state-of-the-art natural language processing models using BERT
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Updated
May 20, 2021 - Jupyter Notebook
Build and train state-of-the-art natural language processing models using BERT
Sentence Embeddings using Siamese ETRI KoBERT-Networks
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
Sentence Embeddings using Siamese SKT KoBERT-Networks
Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)
Sentence transformers models for SpaCy
FAQ-based Question Answering System using BERT
文本相似度,语义向量,文本向量,text-similarity,similarity, sentence-similarity,BERT,SimCSE,BERT-Whitening,Sentence-BERT, PromCSE, SBERT
A demo that shows how to build a semantic search experience with Typesense's vector search feature and Instantsearch.js
Slides for "Retrieval Augmented Generation" video
This repository shows how to efficiently process variable-length sequences in TensorFlow.
Face Generation from Textual Description using GANs.
A Keras-based and TensorFlow-backend NLP Models Toolkit.
Wine Recommender created with sentence-BERT and NearestNeighbor on AWS SageMaker
Research Assistant Mini App
Semantic Search with streamlit user interface
📃Train text similarity model based on Sentence-BERT | 基于Sentence-BERT训练自己的文本相似度模型
We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorith…
cluster text data using sentence bert
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