Premise Selection using OEIS portal
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Updated
Feb 16, 2023 - Python
Premise Selection using OEIS portal
Web medical blog. You can create; read and most importantly search about the relevant posts that will reply your query well. The marking feature of the application is the semantic search of the posts.
Retrieve themes from a user inputted query and semantically connect them to lyrical data from songs.
ML and Natual Language Processing
Interpretable semantic textual similarity using SBERT.
using sentence-transformer model for embeddings and streamlit for frontend
Code for "Model Agnostic Knowledge Transfer Methods for Sentence Embedding Models" paper by Gunel and Amasyali.
SBERT - Sentence Similarity Matching
MTP-FlanT5-SBERT-Model-for-NewsQA-and-Teacher-Student-Model
In this project, I use sentence embeddings to identify question pairs
Linux manual search shell with natural language
Experiments in the field of Semantic Search using BM-25 Algorithm, Mean of Word Vectors, along with state of the art Transformer based models namely USE and SBERT.
Here we will upload information concerning our work with personality traits in natural text and Natural Language Processing techniques used to study them.
Dive into YouTube videos effortlessly with AI-powered search and navigation.
Developed a versatile framework for analyzing and classifying any text based on linguistic and thematic elements
Scripts e utilitários para modelagem e identificação de tópicos relativos a depressão no Reddit, em língua portuguesa e inglesa, usando técnicas de modelagem de tópicos. Os modelos de tópicos Latent Dirichlet Allocation (LDA), Contextualized Topic Model (CTM) e Embedded Topic Model (ETM) foram explorados neste estudo.
patent-sberta training with triplet data
Add a description, image, and links to the sbert topic page so that developers can more easily learn about it.
To associate your repository with the sbert topic, visit your repo's landing page and select "manage topics."