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GensimTopic Modelling for Humans
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Fasttext4j Implementing Facebook's FastText with java
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Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
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russeRUSSE: Russian Semantic Evaluation.
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DebiasweRemove problematic gender bias from word embeddings.
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two-stream-cnnA two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
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DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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WebvectorsWeb-ify your word2vec: framework to serve distributional semantic models online
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word2vec-moviesBag of words meets bags of popcorn in Python 3 中文教程
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Vaaku2VecLanguage Modeling and Text Classification in Malayalam Language using ULMFiT
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skip-gram-Chineseskip-gram for Chinese word2vec base on tensorflow
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SplitterA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
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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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asm2vecAn unofficial implementation of asm2vec as a standalone python package
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AravecAraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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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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KoanA word2vec negative sampling implementation with correct CBOW update.
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Skip Gram PytorchA complete pytorch implementation of skip-gram
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
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Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
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Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
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Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
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GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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Word2vecGo library for performing computations in word2vec binary models
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hyperstarHyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.
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Word2vecPython interface to Google word2vec
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ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
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doc2vec-apidocument embedding and machine learning script for beginners
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GE-FSGGraph Embedding via Frequent Subgraphs
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grad-cam-textImplementation of Grad-CAM for text.
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GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (+800%)