Popular GitHub Repositories for Universal Sentence Encoder

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Open Source Text Embedding Models with OpenAI Compatible API

Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.

Convert MUSE from TensorFlow to PyTorch and ONNX

ASR experiment using Google's Universal Sentence Encoder

It is well-known that stock price movements are highly sensitive to different types of news, including global events such as outbreaks of epidemics or military conflicts, as well as what people post about specific companies on their social networks. Previous research has studied methods to predict stock price movements based on sentiment analysis of business news and social media posts of a particular company alongside its historical stock price data. In contrast, this project will also implement a new state of the art algorithm recently developed by the Google Research team called Universal Sentence Encoder, which is able to encode input text, implementing sentence level embeddings, into high dimensional vectors that will be used as predictors of future stock price movements. According to that, both the Sentient Analysis and the Uni

Combined semantic similarity search based visual search engine.

Using Neural Representations for Generating Intent-based Query Phrases

It reflects the main purpose of the code, which is to perform semantic search on a dataset of text documents using FAISS for indexing and the Universal Sentence Encoder for generating embeddings.

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.

Python project for generating search results based on a given text using TF Universal Sentence Encoder and ElasticSearch database.

Sentiment Analysis using Google's Universal Sentence Encoder