Topic: universal-sentence-encoder Goto Github
Some thing interesting about universal-sentence-encoder
Some thing interesting about universal-sentence-encoder
universal-sentence-encoder,Using Random Forest , Bi Direction LSTM and Tensorflow Transfer Learning to do a text classification project. Compare model differences between tokenization and word embedding.
User: 86lekwenshiung
universal-sentence-encoder,Combined semantic similarity search based visual search engine.
User: aashishyadavally
Home Page: https://rubrix.ai-camp.org/
universal-sentence-encoder,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.
User: abhi-37
universal-sentence-encoder,
User: abhi-37
universal-sentence-encoder,Next Word Prediction using Google's Universal Sentence Encoder from Tensorflow hub. lol
User: adminixtrator
universal-sentence-encoder,This repository contains a simple code to compare two sentences based on their semantic similarity scores using a Universal sentence encoder.
User: akhilsoni0102
universal-sentence-encoder,Predicting product recommendation score using the data available on the website of the client
User: akshatsinghal92
universal-sentence-encoder,Implementing Text Similarity for US Patents using modern day Word2Vec and USE(Universal Sentence Encoding) and some classical algos. like Jaro Winkler and Jaccard
User: akulez
universal-sentence-encoder,Fine-grained Propaganda Detection at NLP4IF 2019
User: aliosm
universal-sentence-encoder,Find similar GOV.UK content to a piece of text or content item
Organization: alphagov
universal-sentence-encoder,Language independent sentiment analysis
Organization: aok-plus
universal-sentence-encoder,Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
User: ashalogic
universal-sentence-encoder,Document-level semantic clustering. Unsupervised topic modelling.
User: colurw
universal-sentence-encoder,A super simple Q&A chat-bot applying vector search
User: crodriguez1a
universal-sentence-encoder,Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis
User: daniel-rychlewski
universal-sentence-encoder,ASR experiment using Google's Universal Sentence Encoder
User: daveshap
universal-sentence-encoder,REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
User: dayyass
Home Page: https://pypi.org/project/muse-as-service/
universal-sentence-encoder,Convert MUSE from TensorFlow to PyTorch and ONNX
User: dayyass
Home Page: https://huggingface.co/dayyass/universal-sentence-encoder-multilingual-large-3-pytorch
universal-sentence-encoder,Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
User: faezeh-gholamrezaie
universal-sentence-encoder,Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task
Organization: hate-alert
universal-sentence-encoder,comment analysis experiment
User: hchiam
Home Page: https://comment-analysis.surge.sh
universal-sentence-encoder,tfjs + umap-js + USE
User: hchiam
Home Page: https://tfjs-umap-demo.surge.sh
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)
User: hellisotherpeople
Home Page: https://huggingface.co/spaces/Hellisotherpeople/Unsupervised_Extractive_Summarization
universal-sentence-encoder,Python project for generating search results based on a given text using TF Universal Sentence Encoder and ElasticSearch database.
User: id-shiv
universal-sentence-encoder,Summarizer in python with Spacy and Universal Sentence Encoder build on Flask framework
User: idanmoradarthas
universal-sentence-encoder,All about Neural Networks!
User: jatinmandav
Home Page: https://jatinmandav.wordpress.com
universal-sentence-encoder,Creating an automatic answer checker web application for students and teachers, for grading of the answers submitted by students against an ideal solution uploaded by the teacher.
User: jay22519
universal-sentence-encoder,Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
User: jorge-martinez-gil
Home Page: https://arxiv.org/abs/2305.03520
universal-sentence-encoder,Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.
User: korymath
universal-sentence-encoder,Full example of semantic search system
User: lazarst96
universal-sentence-encoder,Open Source Text Embedding Models with OpenAI Compatible API
User: limcheekin
Home Page: https://pypi.org/project/open-text-embeddings/
universal-sentence-encoder,Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
User: massanishi
universal-sentence-encoder,A Natural Language Processing (NLP) model with TensorFlow to segment text lines of abstracts from medical research papers in order to improve readability.
User: matthewjansen
Home Page: https://www.kaggle.com/code/matthewjansen/nlp-medical-abstract-segmentation/notebook
universal-sentence-encoder,This code provides an implementation of clustering text data using the Universal Sentence Encoder (USE) and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. You can provide a list of queries (sentences or words) and it will cluster them for your SEO needs (or other use cases).
User: nachoseo
universal-sentence-encoder,OSPPre (Open Source Parts Prediction), largely inspired by Aquant.io's Smart Triage Feature
User: navraj28
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 Universal Sentence Encoder will be performed and the outputs will be used as an exogenous variable in machine learning models which will be then compared with each other to find the best model with the aim of achieving a higher model accuracy, better performance and a more robust model than only using either the historical stock price data ad endogenous variable or implementing other natural language processing methodologies based on word embeddings.
User: nicholas-dinicola
universal-sentence-encoder,Bachelor thesis for SPBU.
User: nkorobkov
universal-sentence-encoder,Shack Labs Assignments: 1. House Price Prediction 2. Product Matching
User: npps1997
universal-sentence-encoder,Using Neural Representations for Generating Intent-based Query Phrases
Organization: opennlp
Home Page: https://opennlp.github.io/DeepPhrase/
universal-sentence-encoder,A Rasa NLU component library
Organization: revmaker
universal-sentence-encoder,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.
User: rid17pawar
universal-sentence-encoder,Wagtail Django Website with PostreSQL Database Focused on Providing a Modular Hub of Educational Resources to Student Bodies
Organization: seedling-project
Home Page: https://seedlingeducation.org
universal-sentence-encoder,Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
User: smellyarmure
universal-sentence-encoder,Quora Questions Pair detection with Semantic Similarity
User: spallas
universal-sentence-encoder,Determining similarity between two sentences in terms of semantic using pre trained Universal Sentence Encoder from TensorFlow.js
User: su050300
universal-sentence-encoder,Use-cases of Google's Universal Sentence Encoder (e.g. sentence similarity, unsupervised extractive summarization).
User: tm4roon
universal-sentence-encoder,Semantic Textual Similarity between two document
User: yashkim77
universal-sentence-encoder,
User: yassaadi
universal-sentence-encoder,Document Search Engine project with TF-IDF abd Google universal sentence encoder model
User: zayedrais
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