GitHub topics: cbow
warda-tariqq/bartangi-lemmatizer-v2
Final version of Bartangi Lemmatizer and Word2Vec embeddings
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smilelight/lightNLP
基于Pytorch和torchtext的自然语言处理深度学习框架。
Language: Python - Size: 49.3 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 832 - Forks: 212

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).
Size: 76.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0

predict-idlab/pyRDF2Vec
🐍 Python Implementation and Extension of RDF2Vec
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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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bloomberg/koan
A word2vec negative sampling implementation with correct CBOW update.
Language: C++ - Size: 378 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 260 - Forks: 18

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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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.
Language: Python - Size: 6.84 KB - Last synced at: 27 days ago - Pushed at: almost 5 years ago - Stars: 86 - Forks: 30

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!
Language: Python - Size: 9.85 MB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 22 - Forks: 1

TahirZia-1/NLP-TextClassify
A hands-on NLP project comparing classic ML models (Naïve Bayes, SVM, Logistic Regression) and ANNs for text classification using SMS Spam and 20 Newsgroups datasets.
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38832/Natural-Language-Processing
This repository features NLP and deep learning projects using LSTM, Bidirectional LSTM, Word2Vec, and TF-IDF, implemented with TensorFlow, Keras, and Scikit-Learn.
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estamos/word2vec-thesis
🎓 Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram
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FrancescoPaoloL/LearningNLP
This repository contains what I'm learning about NLP
Language: Python - Size: 12.2 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

astonizer/cbow
CBOW implementation
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zahediparsa/NLP_TA_UOK
This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.
Size: 1.92 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

spaceshark123/Word2Vec
Java implementation of the Word2Vec algorithm supporting CBOW and Skip-gram models. Features include training on custom corpora, vector operations, and similarity calculations. Ideal for NLP tasks like finding similar words and word analogies.
Language: Java - Size: 2.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.
Size: 29.3 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

nisharathod231/Comparison_Analysis_of_embeddings
Pretained word2vec developed by Google is used to analyze the quality of the embedding.
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madhu102938/BPE-CBOW
implementation of BPE algorithm and training of the tokens generated
Language: Python - Size: 7.69 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Cloud-Tech-AI/neural-networks
Implementation of different versions of FeedForward Neural Network in python from scratch. The repository includes, Backpropagation, Dimensionality Reduction with Autoencoder and Word2Vec model (CBOW).
Language: Python - Size: 1.63 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

azret/bow
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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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faezeh-gholamrezaie/Vectorization-Techniques-tutorial
Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
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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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victor-iyi/Word2Vec
Word2Vec implementation in tensorflow
Language: Python - Size: 4.45 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

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。
Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

waynemystir/stanford-cs224n
My solutions to the class assignments
Language: Python - Size: 68.9 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

yuhexiong/cbow-word2vec-pca-nlp-python
Language: Python - Size: 313 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

iAmKankan/Natural-Language-Processing-NLP-Tutorial
NLP tutorials and guidelines to learn efficiently
Size: 123 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

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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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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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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changwookjun/learningspoons
nlp lecture-notes and source code
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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
Language: Python - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 231 - Forks: 91

zxuu/Word2Vector-skip_gram
用skip-gram或者CBOW训练自己的词向量
Language: Python - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Surya-Prakash-Reddy/Word2Vec
Built and trained a Word2Vec which is a word embedding model
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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
Language: Python - Size: 5.51 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 7

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
Language: Jupyter Notebook - Size: 39.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

slavastar/word2vec
Word2Vec implementation in PyTorch.
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BushMinusZero/deep-learning-skunk-works
Deep Learning Skunk Works. NLP projects using PyTorch
Language: Python - Size: 92.8 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

luffycodes/attention-word-embedding
Code for Attention Word Embeddings
Language: Python - Size: 64.5 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 2

smafjal/continuous-bag-of-words-pytorch
Continuous Bag-of-Words (CBOW model implemented in pytorch
Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 14 - Forks: 4

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)
Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 5 - Forks: 4

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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gazelle93/Word2vec
This project aims to implement CBoW and Skip-Gram word embedding methods.
Language: Python - Size: 7.81 KB - Last synced at: 18 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

gazelle93/Word-Embedding-Methods
This project aims to implement various word embedding methods.
Language: Python - Size: 37.1 KB - Last synced at: 18 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

sirius-mhlee/word-embedding-using-keras-cbow-word2vec
Keras implementation of Continuous Bag-of-Words Word2Vec
Language: Python - Size: 89.8 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

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
Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

danny-1k/autocomplete_hist
Autocomplete engine trained on my google history
Language: Python - Size: 1.64 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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
Language: Python - Size: 364 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

RottenFruits/gdp
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
Language: Python - Size: 52.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

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
Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Jash-2000/Optimized-Word2Vec
This repository contains additional features, extended to the traditional Word2Vec library, launched in 2013
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AnFrBo/clap_predictions
Predicting the Total Number of Claps of a Medium Blog Post Using Word Embeddings and RNNs
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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.
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

SeonbeomKim/TensorFlow-Word2vec
Skip-gram, Cbow
Language: Python - Size: 8.71 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

roshray/NLP
Implemented Word2Vec model using gensim Lib.
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rounayak/Text-categorization-using-neural-word-embeddings
This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.
Language: Python - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0

shaghayeghjalali96/Context-representation-using-a-window-based-neural-network
Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: over 5 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 at: almost 2 years ago - Pushed at: over 7 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 at: 3 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1
