DrQA
Reading Wikipedia to Answer Open-Domain Questions
AI summary
Question reader
Develops a system to read and answer questions from large, unstructured documents like Wikipedia articles.
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Similar projects
Found by comparing what the projects do, not just their names.
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Implementing reading comprehension from Wikipedia questions to answer open-domain queries using PyTorch and SQuAD dataset
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A package for high-accuracy question answering from scientific documents with citations using retrieval augmented generation (RAG) techniques.
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News QA data
Compiles and provides structured access to Maluuba's NewsQA dataset for natural language question answering research.
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Language model benchmark
A benchmark designed to probe large language models and extrapolate their future capabilities through a diverse set of tasks.
Media indexer
A monorepo search engine that indexes GPL-compatible media from the web.
Training framework
A PyTorch extension library that provides high-performance and large-scale training techniques.
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Bookmark Manager
A command-line bookmark manager with a private, portable database and integration with text editors.
Information extractor
Extracts and stores information from various sources using AI models to generate answers.
Wikipedia app
A Wikipedia app built using Android and Kotlin.
Featured in 2 awesome lists
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