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cbow
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15 search results found
Lightnlp
⭐
725
基于Pytorch和torchtext的自然语言处理深度学习框架。
Koan
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245
A word2vec negative sampling implementation with correct CBOW update.
Pyrdf2vec
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232
🐍 Python Implementation and Extension of RDF2Vec
Nlp_learning
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166
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、
Game2vec
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61
TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
Word2vec Win32
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41
A word2vec port for Windows.
Pytorch Continuous Bag Of Words
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36
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.
Fasttextr
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21
Efficient learning of word representations
Learningspoons
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20
nlp lecture-notes and source code
Rivertext
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17
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!
Cs224n Nlp With Deep Learning
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17
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
Romanian Word Embeddings
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10
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).
Compare_word_embedding
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7
意味表現学習
Word2vec
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5
word2vec implementation (for skip-gram and cbow) and simple application of word2vec in sentiment analysis
Text Categorization Using Neural Word Embeddings
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5
This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.
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