TRACE - Text Reuse Analysis and Comparison Engine
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Updated
Jul 12, 2024 - Python
TRACE - Text Reuse Analysis and Comparison Engine
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
A Python library to chunk/group your texts based on semantic similarity.
This package computes a variety of similarity metrics between concepts present in the UMLS database. It also serves as a way to interface with the UMLS.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
SDLDpred - Symptom-based Drugs of Lifestyle-related Diseases prediction
ISCC - Semantic Code Text
SemEval 2024 Task 1 : Textual Semantic Relatedness
ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk
😷 Disease Ontology Semantic and Enrichment analysis
UK Election '24 • Look up what local candidates have said about aspects of your identity
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures
코드 유사성 판단 시즌2 AI 경진대회, DACON (2024.03.04 ~ 2024.04.01)
Pheno-Ranker is a tool designed for performing semantic similarity analysis on phenotypic data structured in JSON format, such as Beacon v2 Models or Phenopackets v2.
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Evaluate LLMs capability of assessing semantic relations
The Dynamic Test Paper Generator using Bloom's Taxonomy is a Streamlit-based application that helps educators create customized test papers. By inputting subject details, syllabus, and example questions, users can generate multiple-choice, short answer, and long answer questions.
⛳ GO-terms Semantic Similarity Measures
🩺 MeSH Enrichment and Semantic analyses
Code for my practical semantic search article
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