jose-de-melo/minicurso-introducao-a-word-embeddings

Material do Minicurso "Introdução a Word Embeddings" da Semana Acadêmica 2019-1, do curso de Tecnologia em Sistemas para Internet.

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nisharathod231/Comparison_Analysis_of_embeddings

Pretained word2vec developed by Google is used to analyze the quality of the embedding.

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bentocussei/word2vec_semantic_similarity

Similaridad de Palabras en un corpus. Word2vec, representacion del significado de una palabra dado un contexto

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jayybhatt/Deep-Learning

Repository for the Google Deep Learning Course on Udacity.

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CHISH08/PytorchEmbedding

in this repository, I am writing the CBOW and skip-gram algorithms from scratch. Also, I will describe the algorithm of their construction, the main features and their time complexity and memory

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victor-iyi/Word2Vec

Word2Vec implementation in tensorflow

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deba-iitbh/word2vec-models

Word2Vec Models implemented in Pytorch

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sindre0830/Word-Vectors

This repository implements different architectures for training word embeddings.

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JNZJUa/Exp3forZJUPSY_SS2024

本项目为浙江大学《信号与认知系统》2024春学期课程，作业3代码与数据集。关键词：CBOW；GLOVE；SKIP-GRAM。

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waynemystir/stanford-cs224n

My solutions to the class assignments

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azret/ml

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IBCNServices/pyRDF2Vec

🐍 Python Implementation and Extension of RDF2Vec

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yuhexiong/cbow-word2vec-pca-nlp-python

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dccuchile/rivertext

RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

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smilelight/lightNLP

基于Pytorch和torchtext的自然语言处理深度学习框架。

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junteudjio/stanford_NLP_CS224n_assigment1

This repo is my implementation of the coding questions of assignment1 of Stanford University class: - [CS224n](cs224n.stanford.edu): Natural Language Processing with Deep Learning

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faezeh-gholamrezaie/Vectorization-Techniques-tutorial

Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers

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Kind-Unes/AI-Camp23

⭐️ Contributing as a trainer in a series of AI Workshops (AI-Camp23) ⭐️

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Hedrax/16-MBTI-Prediction-Based-On-Social-Text

The Use Of Classical Classification to Distinguish between 16 MBTI given a vectorized text using CBOW, BERT Models vs Classification using The LSTM model

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bloomberg/koan

A word2vec negative sampling implementation with correct CBOW update.

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warchildmd/game2vec

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

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FrancescoPaoloL/LearningNLP

This repository contains what I'm learning about NLP

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rhnfzl/keras-word-embedding

Keras implementation of skipgram and cbow

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kshitizdoon/NLP

Natural Language Processing using python

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Cloud-Tech-AI/neuralnetworks

Implementation of different versions of FeedForward Neural Network in python from scratch. The repository includes, Backpropagation, Dimensionality Reduction with Autoencoder and Word2Vec model (CBOW).

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siddharthshah3030/Aavartan-2018

official website of aavartan-2018 (Techfest of NITRR)

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qiaomengrui/NLP-word2vec-model

NLP word2vec model knowledge points

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mlampros/fastTextR 📦

Efficient learning of word representations

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shayneobrien/text-cluster

Offline and online (i.e., real-time) annotated clustering methods for text data.

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shayneobrien/sentiment-classification

Neural sentiment classification of text using the Stanford Sentiment Treebank (SST-2) movie reviews dataset, logistic regression, naive bayes, continuous bag of words, and multiple CNN variants.

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SeanLee97/nlp_learning 📦

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

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zxuu/Word2Vector-skip_gram

用skip-gram或者CBOW训练自己的词向量

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Surya-Prakash-Reddy/Word2Vec

Built and trained a Word2Vec which is a word embedding model

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BlackKakapo/Icelandic-Word-Embedding

Icelandic Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .model file are available for download.

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slavafive/word2vec

Word2Vec implementation in PyTorch.

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Anwarvic/CS224n--NLP-with-Deep-Learning

This repo contains my solution to the Stanford course "NLP with Deep Learning" under CS224n code. Here, you can find the solution for all classes starting form 2018

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zhangyafeikimi/word2vec-win32

A word2vec port for Windows.

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MirunaPislar/Word2vec

word2vec implementation (for skip-gram and cbow) and simple application of word2vec in sentiment analysis

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SolomonAmaning/Sentiment-Analysis

This project was carried out to extract and predict sentiments from amazon reviews

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rodosingh/Intro-NLP-IIITH

Course Materials (along with assignments) for Intro to NLP, done as a part for requirement of the course "Introduction to NLP" (course-code: CS7.401.S22) @ IIITH. Note: If you are cloning this or taking help of this repo, try to star the repo.

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lacteolus/word2vec

Custom Word2Vec implementation

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BlackKakapo/Romanian-Word-Embeddings

Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).

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estamos/word2vec-thesis

🎓 Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram

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iAmKankan/Natural-Language-Processing-NLP-Tutorial

NLP tutorials and guidelines to learn efficiently

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BushMinusZero/deep-learning-skunk-works

Deep Learning Skunk Works. NLP projects using PyTorch

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luffycodes/attention-word-embedding

Code for Attention Word Embeddings

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smafjal/continuous-bag-of-words-pytorch

Continuous Bag-of-Words (CBOW model implemented in pytorch

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FraLotito/pytorch-continuous-bag-of-words

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

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MBadriNarayanan/NLP 📦

Natural Language Processing(NLP) with Deep Learning in Keras . Course offered by Udemy . Created and taught by Carlos Quiros .

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MBadriNarayanan/NLPSpecialization 📦

Natural Language Processing Specialization (4 Courses). Course offered by deeplearning.ai and Coursera. Taught by Younes Bensouda Mourri & Łukasz Kaiser.

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nickvdw/word2vec-from-scratch

A word2vec implementation (for CBOW and Skipgram) demonstrated on the word analogy task

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sam-iitj/CBOW

Continuous Bag of Words (CBOW)

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vsnupoudel/NLP_Specialization

Contains work done for NLP Specialization courses from DeepLearning.AI

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Gianluca124/word-embedding-italian-literature Fork of giocoal/word-embedding-italian-literature

Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.

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mohan-aditya05/text-clasification-toi

Text classification of Times of India articles on HIV-AIDS since 2010 using neural networks and web scraping using BeautifulSoup.

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pixel-z/Word2Vec

Implementation of CBOW and Co-Occurrence Matrix using Singular Value Decomposition

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sirius-mhlee/word-embedding-using-keras-cbow-word2vec

Keras implementation of Continuous Bag-of-Words Word2Vec

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veeral-agarwal/word-embeddings

word embeddings(frequency based and prediction based).Advanced NLP | Monsoon 2021

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abdouaziz/cbow-wolof

Continous Bag of Words -WOLOF

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Ostyk/sensEmbedd

Learning sense embeddings for word similarity

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danny-1k/autocomplete_hist

Autocomplete engine trained on my google history

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RottenFruits/gdp

gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.

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vitthal-bhandari/Sentiment-analysis

implementing sentiment analysis from scratch without any external libraries and self-trained word vectors

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lucifermorningstar1305/cbow

Implementation of the CBOW model using PyTorch and TorchText

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Jash-2000/Optimized-Word2Vec

This repository contains additional features, extended to the traditional Word2Vec library, launched in 2013

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dhingratul/How-Does-Word2Vec-Work

How does Word2Vec work ?

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m-e-l-u-h-a-n/Word-embeddings-Visualization

Visualization of word embeddings using various algorithms.

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tikerlade/Artists-recommendation

CoreML(VK) task for ML internship. Artists :microphone: recommendation problem based on 30Music dataset. Solving useing CBOW technique.

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anishLearnsToCode/word-embeddings

Continuous Bag 💼 of Words Model to create Word embeddings for a word from a given Corpus 📚 and then Performing PCA ↕ and Reational Mapping using the Embeddings.

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SeonbeomKim/TensorFlow-Word2vec

Skip-gram, Cbow

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roshray/NLP

Implemented Word2Vec model using gensim Lib.

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shaghayeghjalali96/Context-representation-using-a-window-based-neural-network

Size: 0 Bytes - Last synced: 11 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

avinashsai/Word-vectors-from-scratch-PyTorch

Implementation of Word vector models in PyTorch

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deepakrana47/Language_model

Implementation of CBOW and Skip-gram model in python

Language: Python - Size: 8.79 KB - Last synced: 11 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 1

surajiyer/Recommender-Systems

Recommender systems, 2017-18

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dhingratul/Learning-To-Represent-Text

Learning to represent text using Word2Vec

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pierric/word2vec

word to vector

Language: Python - Size: 73.2 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1