Explosion builds developer tools for AI, Machine Learning and Natural Language Processing.
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Category
Tasks
Select...Code GenerationCoreference ResolutionDependency ParsingDistillationEmbeddings & VectorsEntity LinkingEvaluationImage ClassificationImage SegmentationLayout AnalysisLemmatizationNamed Entity RecognitionObject DetectionOptical Character Recognition (OCR)Part-of-Speech TaggingPII AnonymizationQuestion AnsweringRelation ExtractionRetrieval-Augmented Generation (RAG)Rule-Based MatchingSpan CategorizationText ClassificationText GenerationTokenizationWeak Supervision
Authors
Select...Adriane Boyd, Ákos Kádár, Basile Dura, Chung-Fan Tsai, Damian Romero, Daniel de Kok, Duygu Altinok, Edward Schmuhl, Helena Steckmeister, India Kerle, Ines Montani, Kabir Khan, Lj Miranda, Madeesh Kannan, Magdalena Anioł, Matthew Honnibal, Paul O’Leary McCann, Peter Baumgartner, Philip Vollet, Raphael Mitsch, Rehan Ahmed, Richard Hudson, Ryan Wesslen, Sofie Van Landeghem, Victoria Slocum, Vincent D. Warmerdam, Vinit Ravishankar, Walter Henry
Articles
Prozessvisualisierung mit generativer KI im Praxistest
German article by Nils Durner on visualizing technical processes with Generative AI, featuring spaCy and Presidio for PII anonymization.spaCy Chunks v0.0.2
spaCy extension and pipeline component for generating overlapping chunks of sentences or tokens from a document.Economies of Scale Can’t Monopolise the AI Revolution
Presentation by Ines Montani at QCon London.Microsoft Presidio v2.2.352
Context-aware, pluggable and customizable PII de-identification and anonymization service for text and images featuring a spaCy back-end.MP Interests Tracker: Utilising GenAI to uncover insights in the UK Register of Financial Interest
Project from teams at The Times and BBC using spacy-llm.WW2 spaCy v0.0.9
spaCy pipeline for processing primary and secondary sources for World War 2 texts.When Women Make Headlines
Analyzing headlines to see how women are represented.How We Analyzed Google’s Search Results
Using the Prodigy annotation tool.More than a Million Pro-Repeal Net Neutrality Comments were Likely Faked
Analysis of net neutrality comments by Jeff Kao using spaCy.Best Way to OCR a PDF in Python
Tutorial on using the new spaCy Layout package.
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