Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
$ git clone https://github.com/Nrgeup/controllable-text-attribute-transfer.gitA Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
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12 Weeks, 24 Lessons, AI for All!
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A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
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Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Data from GitHub · snapshot Nov 13, 2026