Word2vec訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
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Philo2vecAn implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)
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Kor2vecLibrary for Korean morpheme and word vector representation
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Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
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Text SummarizerPython Framework for Extractive Text Summarization
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Word2vec Russian NovelsInspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov
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BagofconceptsPython implementation of bag-of-concepts
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Glove As A Tensorflow Embedding LayerTaking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
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Sense2vec🦆 Contextually-keyed word vectors
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Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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MagnitudeA fast, efficient universal vector embedding utility package.
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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ScattertextBeautiful visualizations of how language differs among document types.
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TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
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ExperimentsSome research experiments
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Scattertext PydataNotebooks for the Seattle PyData 2017 talk on Scattertext
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ServenetService Classification based on Service Description
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Lightnlp基于Pytorch和torchtext的自然语言处理深度学习框架。
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Nlp兜哥出品 <一本开源的NLP入门书籍>
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Cs224nCS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
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Ja.text8Japanese text8 corpus for word embedding.
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AsneA sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
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FlashtextExtract Keywords from sentence or Replace keywords in sentences.
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TextclfTextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
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VectorsinsearchDice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
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Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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ChiveJapanese word embedding with Sudachi and NWJC 🌿
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PujanggaPujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec
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Postgres Word2vecutils to use word embedding like word2vec vectors in a postgres database
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Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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Pytorch SkipgramImplementing Skip-gram Negative Sampling with pytorch
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Transorthogonal LinguisticsUses a distributed word representation to finds words along the hyperchord of two input words.
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Few Shot Text ClassificationFew-shot binary text classification with Induction Networks and Word2Vec weights initialization
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Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
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Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
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Nlp JourneyDocuments, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
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Nlp chinese corpus大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
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Ngram2vecFour word embedding models implemented in Python. Supporting arbitrary context features
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Cw2vec基于字符训练词向量
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MagpieDeep neural network framework for multi-label text classification
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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Russian news corpusRussian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ
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Mlsourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees
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Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
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Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Numpy MlMachine learning, in numpy
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MusaeThe reference implementation of "Multi-scale Attributed Node Embedding".
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