Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
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Few Shot Text ClassificationFew-shot binary text classification with Induction Networks and Word2Vec weights initialization
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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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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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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Ngram2vecFour word embedding models implemented in Python. Supporting arbitrary context features
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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MagpieDeep neural network framework for multi-label text classification
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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FlashtextExtract Keywords from sentence or Replace keywords in sentences.
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Word2vecGo library for performing computations in word2vec binary models
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Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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Postgres Word2vecutils to use word embedding like word2vec vectors in a postgres database
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Natural Language ProcessingProgramming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
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Text2vectext2vec, chinese text to vetor.(文本向量化表示工具,包括词向量化、句子向量化、句子相似度计算)
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Transorthogonal LinguisticsUses a distributed word representation to finds words along the hyperchord of two input words.
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WegoWord Embeddings (e.g. Word2Vec) in Go!
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Word2vec对 ansj 编写的 Word2VEC_java 的进一步包装,同时实现了常用的词语相似度和句子相似度计算。
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Text Cnn嵌入Word2vec词向量的CNN中文文本分类
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Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
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LanguagecrunchLanguageCrunch NLP server docker image
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SplitterA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
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Event Extraction基于法律裁判文书的事件抽取及其应用,包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
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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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AskNowNQSA question answering system for RDF knowledge graphs.
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go2vecRead and use word2vec vectors in Go
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Cw2vec基于字符训练词向量
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altairAssessing Source Code Semantic Similarity with Unsupervised Learning
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Russian news corpusRussian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ
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sent2vecHow to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
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AsneA sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
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NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
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FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
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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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watchmanWatchman: An open-source social-media event-detection system
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EmbeddingEmbedding模型代码和学习笔记总结
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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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vector space modellingNLP in python Vector Space Modelling and document classification NLP
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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ChiveJapanese word embedding with Sudachi and NWJC 🌿
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DebiasweRemove problematic gender bias from word embeddings.
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DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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ScattertextBeautiful visualizations of how language differs among document types.
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