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conecContext Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings
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Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
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MetaA Modern C++ Data Sciences Toolkit
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Bert Embedding🔡 Token level embeddings from BERT model on mxnet and gluonnlp
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WegoWord Embeddings (e.g. Word2Vec) in Go!
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BiosentvecBioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
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Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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ClustercatFast Word Clustering Software
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Lbl2VecLbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
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GensimTopic Modelling for Humans
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Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
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Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
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sembei🍘 単語分割を経由しない単語埋め込み 🍘
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DanlpDaNLP is a repository for Natural Language Processing resources for the Danish Language.
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SWDMSIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
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codenamesCodenames AI using Word Vectors
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Top2vecTop2Vec learns jointly embedded topic, document and word vectors.
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MagnitudeA fast, efficient universal vector embedding utility package.
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