162 results for “topic:sbert”
MTEB: Massive Text Embedding Benchmark
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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
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
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
An AI-driven vulnerability scanner that uses Nmap to discover open services on a user-supplied IP, matches each service to relevant CVEs via SBERT embeddings and a severity classifier, and generates tailored remediation steps using a fine-tuned T5 model.
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)
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Backend code for GitHub Recommendation Extension
Run sentence-transformers (SBERT) compatible models in Node.js or browser.
Embedding Representation for Indonesian Sentences!
Semantic emoji finder. Python/dash UI. Uses sentence transformer embeddings and duckdb
A tool for performing semantic search within pdf documents leveraging sentence transformers.
Livebook to run a Phoenix_LiveView documentation Retrieval-Augmented Generation (RAG) enhanced LLM
Classification pipeline based on sentenceTransformer and Facebook nearest-neighbor search library
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ crawled tweets utilizing SBERT, streamlit, tweepy and FastAPI
Package to calculate the similarity score between two sentences
📃Train text similarity model based on Sentence-BERT | 基于Sentence-BERT训练自己的文本相似度模型
Generative AI & Recommendation Engine --- Firat University / Faculty of Technology / Software Engineering / Final Project
Content-based movie recommendation engine using SBERT semantic embeddings, FAISS vector search, and FastAPI. Features 33k+ movies with real-time TMDB enrichment.
CV Embed is an AI resume analyzer that matches candidates with job descriptions using SBERT/GloVe/Doc2Vec models. Calculates compatibility scores, suggests top job matches, and generates real opportunities. Supports PDF/DOCX uploads with Flask backend and Gemini AI integration.