A semantic search engine prototype, made with SentenceBERT, ontological definitions, and full-text search.
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Updated
Dec 6, 2020 - Python
A semantic search engine prototype, made with SentenceBERT, ontological definitions, and full-text search.
Плагин для SmartApp Framework, осуществляющий векторизацию (получение embedding'ов) текстов с помощью различных моделей
Linux manual search shell with natural language
Generación de contestaciones a partir de la aproximación de sus preguntas
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
patent-sberta training with triplet data
Backend code for GitHub Recommendation Extension
sentence-transformers with tensorflow
Aspect Based Sentiment Analysis
A movie recommender system that uses SBERT for embedding and cosine similarity for recommendations.
A Movie recommendation system using Content Based Filtering with ElasticSearch
Retrieve themes from a user inputted query and semantically connect them to lyrical data from songs.
Premise Selection using OEIS portal
Simple Chatbots implemented with Machine Learning
Package to calculate the similarity score between two sentences
Presenting a web app with semantic search functionalities based on pre-trained sBERT, with an interface built using Plotly Dash
An ML API to compute semantic similarity scores between sentence examples.
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