There are 0 repository under sbert topic.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
MTEB: Massive Text Embedding Benchmark
Generative Representational Instruction Tuning
Build and train state-of-the-art natural language processing models using BERT
Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU
基于sentence transformers和chatglm实现的文档搜索工具
Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)
TextReducer - A Tool for Summarization and Information Extraction
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.
基于sentence-transformers实现文本转向量的机器人
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
Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
Backend code for GitHub Recommendation Extension
Classification pipeline based on sentenceTransformer and Facebook nearest-neighbor search library
emoji_finder
Run sentence-transformers (SBERT) compatible models in Node.js or browser.
Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ scraped tweets utilizing SBERT, streamlit, tweepy and FastAPI
Package to calculate the similarity score between two sentences
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm
Usage of BERT models for text clustering techniques using sentence embeddings
⚕️🦠 Developed a document retrieval system to return titles of scientific papers containing the answer to a given user question based on the first version of the COVID-19 Open Research Dataset (CORD-19) ☣️🧬
Плагин для SmartApp Framework, осуществляющий векторизацию (получение embedding'ов) текстов с помощью различных моделей
Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
Projects for the Artificial Intelligence 2 course at the University of Athens.
Embedding Representation for Indonesian Sentences!
Generación de contestaciones a partir de la aproximación de sus preguntas
Project files contain PyTorch implementations for Siamese BiLSTM models for Semantic Text Similarity task on the SICK Dataset using FastText embeddings. Also contains Siamese BiLSTM-Transformer Encoder and SBERT fine-tuning implementations on the STS Data tasks.
Initially implement Document-Retrieval-System with SBERT embeddings and evaluate it in CORD-19 dataset. Afterwards, fine tune BERT model with SQuAD.v2 dataset so as to evaluate it in Question Answering task.
Here we will upload information concerning our work with personality traits in natural text and Natural Language Processing techniques used to study them.
📃Train text similarity model based on Sentence-BERT | 基于Sentence-BERT训练自己的文本相似度模型