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DecagonGraph convolutional neural network for multirelational link prediction
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text2textText2Text: Cross-lingual natural language processing and generation toolkit
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word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
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VectorhubVector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
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Awesome Persian Nlp IrCurated List of Persian Natural Language Processing and Information Retrieval Tools and Resources
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lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
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go2vecRead and use word2vec vectors in Go
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entity-embedPyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
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entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
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Nlp CubeNatural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
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reachLoad embeddings and featurize your sentences.
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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relation-networkTensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
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Awesome 2vecCurated list of 2vec-type embedding models
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KGE-LDAKnowledge Graph Embedding LDA. AAAI 2017
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HetuA high-performance distributed deep learning system targeting large-scale and automated distributed training.
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NimfaNimfa: Nonnegative matrix factorization in Python
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SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
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game2vecTensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
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deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
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ruimteholR package to Embed All the Things! using StarSpace
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SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
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embeddinghubA vector database for machine learning embeddings.
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Contextualized Topic ModelsA python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.
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NatashaSolves basic Russian NLP tasks, API for lower level Natasha projects
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CODERCODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
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CleoraCleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
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IR2VecImplementation of IR2Vec, published in ACM TACO
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Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
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SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
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PolyfuzzFuzzy string matching, grouping, and evaluation.
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whatliesToolkit to help understand "what lies" in word embeddings. Also benchmarking!
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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HubA library for transfer learning by reusing parts of TensorFlow models.
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LightlyA python library for self-supervised learning on images.
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nccNeural Code Comprehension: A Learnable Representation of Code Semantics
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Wikipedia2vecA tool for learning vector representations of words and entities from Wikipedia
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muse-as-serviceREST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
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cadeCompass-aligned Distributional Embeddings. Align embeddings from different corpora
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LSCDetectionData Sets and Models for Evaluation of Lexical Semantic Change Detection
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Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
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watset-javaAn implementation of the Watset clustering algorithm in Java.
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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Node2vecImplementation of the node2vec algorithm.
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Lmdb EmbeddingsFast word vectors with little memory usage in Python
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