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#

w2v

Here are 34 public repositories matching this topic...

Simple implementations of NLP models. Tutorials are written in Chinese on my websitehttps://mofanpy.com

  • UpdatedMay 22, 2023
  • Python

机器学习、深度学习、NLP实战项目

  • UpdatedFeb 26, 2018
  • Python

Indra is a Web Service which allows easy access to different distributional semantics models in several languages.

  • UpdatedApr 9, 2025
  • Java

Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)

  • UpdatedFeb 25, 2021
  • Python

This repo builds an end-to-end deep learning application that supports speech recognition system. It's simple to use and understand 😄

  • UpdatedMay 23, 2023
  • Jupyter Notebook

玩转图神经网络和知识图谱的相关算法:GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe

  • UpdatedApr 27, 2024
  • Jupyter Notebook

Word Embeding with Simple model, w2v, Simple RNN, LSTM

  • UpdatedMay 17, 2024
  • Jupyter Notebook

Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.

  • UpdatedAug 28, 2018
  • Python

Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec

  • UpdatedOct 4, 2020
  • Python

Predicts an emoji based on a given tweet using various NLP models.

  • UpdatedJul 20, 2018
  • Python

Сравнение нескольких способов представления слов для построения языковых моделей

  • UpdatedSep 20, 2017
  • Python

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

  • UpdatedJan 21, 2020
  • Python

2017 repository

  • UpdatedNov 14, 2017
  • Jupyter Notebook

Client-side Javascript Word2Vec text model loader

  • UpdatedAug 18, 2018
  • JavaScript

Amazon Fine Food Reviews is classification Sentiment Analysis problem. Classify the positive and negative reviews given by Amazon users. Given some product-based features and related reviews in text data. Featuring data and apply various Machine Learning techniques to classify reviews.

  • UpdatedApr 30, 2019
  • Jupyter Notebook

Scraping, processing and analyzing job offers to help job seekers on their journey. Technologies used: Selenium, SQL, Word2Vec/Doc2vec, Google Cloud, Docker, FastAPI, Streamlit. Capstone project for Le Wagon Data Science Bootcamp.

  • UpdatedMay 1, 2021
  • Jupyter Notebook

A tool for analyzing Google Play Store reviews

  • UpdatedOct 29, 2020
  • Python

🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.

  • UpdatedApr 30, 2021
  • Python

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