Cx db8a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
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SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
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Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
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Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
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Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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img2vec-kerasImage to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users
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Food2vec🍔
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Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Vec4irWord Embeddings for Information Retrieval
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Research2vecRepresenting research papers as vectors / latent representations.
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KprnReasoning Over Knowledge Graph Paths for Recommendation
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JodieA PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
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WhatliesToolkit to help understand "what lies" in word embeddings. Also benchmarking!
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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CauseCode for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
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simple elmoSimple library to work with pre-trained ELMo models in TensorFlow
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DeepehrChronic Disease Prediction Using Medical Notes
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