Showing 4 open source projects for "word processor python"

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  • 1
    Unstructured.IO

    Unstructured.IO

    Open source libraries and APIs to build custom preprocessing pipelines

    The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular bricks and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and is efficient in transforming unstructured data...
    Downloads: 3 This Week
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  • 2
    Swirl

    Swirl

    Swirl queries any number of data sources with APIs

    ... the unified results without extracting and indexing anything. It's intended for use by developers and data scientists who want to solve multi-silo search problems from enterprise search to new monitoring & alerting solutions that push information to users continuously. Built on the Python/Django/RabbitMQ stack, SWIRL includes connectors to Apache Solr, ChatGPT, Elastic, OpenSearch | PostgreSQL, Google BigQuery plus generic HTTP/GET/JSON with configurations for premium services.
    Downloads: 0 This Week
    Last Update:
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  • 3
    ThoughtSource

    ThoughtSource

    A central, open resource for data and tools

    ThoughtSource is a central, open resource and community centered on data and tools for chain-of-thought reasoning in large language models (Wei 2022). Our long-term goal is to enable trustworthy and robust reasoning in advanced AI systems for driving scientific research and medical practice.
    Downloads: 0 This Week
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  • 4
    Grade School Math

    Grade School Math

    8.5K high quality grade school math problems

    The grade-school-math repository (sometimes called GSM8K) is a curated dataset of 8,500 high-quality grade school math word problems intended for evaluating mathematical reasoning capabilities of language models. It is structured into 7,500 training problems and 1,000 test problems. These aren’t trivial exercises — many require multi-step reasoning, combining arithmetic operations, and handling intermediate steps (e.g. “If she sold half as many in May… how many in total?”). The problems...
    Downloads: 0 This Week
    Last Update:
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