support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (+49.47%)
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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textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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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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SytoraA sophisticated smart symptom search engine
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
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SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
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FastrtextR wrapper for fastText
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Ml Classify Text JsMachine learning based text classification in JavaScript using n-grams and cosine similarity
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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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ScaleNetData-Driven Neuron Allocation for Scale Aggregation Networks
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textlyticsText processing library for sentiment analysis and related tasks
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SparseLSHA Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
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blueprints-textJupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
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IR2VecImplementation of IR2Vec, published in ACM TACO
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sacred📖 Sacred texts in R
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CODERCODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
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snomed-owl-toolkitThe official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.
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Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
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textstemTools for fast text stemming & lemmatization
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gofastrMake a DocumentTermMatrix faster
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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Focal Loss KerasMulti-class classification with focal loss for imbalanced datasets
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hmmA Hidden Markov Model implemented in Javascript
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text2textText2Text: Cross-lingual natural language processing and generation toolkit
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sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
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aera-workshopThis workshop introduces participants to the Learning Analytics (LA), and provides a brief overview of LA methodologies, literature, applications, and ethical issues as they relate to STEM education.
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shellnetShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
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neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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ProbQAProbabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
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Guten-gutterStrips boilerplate from Project Gutenberg text files
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data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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COVID-CXNetCOVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
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restaurant-finder-featureReviewsBuild a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
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reachLoad embeddings and featurize your sentences.
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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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auroraMalware similarity platform with modularity in mind.
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TextDatasetCleaner🔬 Очистка датасетов от мусора (нормализация, препроцессинг)
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CNN-SoilTextureClassification1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
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embeddinghubA vector database for machine learning embeddings.
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named-entity-recognitionNotebooks for teaching Named Entity Recognition at the Cultural Heritage Data School, run by Cambridge Digital Humanities
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