Search Results for "summarization"
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Showing 10 open source projects for "summarization"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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OpenAI Translator
Browser extension and cross-platform desktop app based on ChatGPT API
.... You must press the shortcut key to trigger the translation after selecting a word. It offers three modes: translation, polishing and summarization. Our tool allows for mutual translation, polishing and summarization across 55 different languages. Streaming mode is supported! It allows users to customize their translation text. One-click copying, Text-to-Speech (TTS). Available on all platforms (Windows, macOS, and Linux) for both browsers and Desktop. -
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PaperQA2
High accuracy RAG for answering questions from scientific documents
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text... -
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Subread
High-performance read alignment, quantification and mutation discovery
The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published... -
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Kinetic Model Builder
GUI for building, simulating and optimizing kinetic models.
.../EigenLab). Convenient simulation and summarization across 2-dimensional sets of stimulus conditions makes constructing stimulus-response curves incredibly simple. For ion channels, this is useful for simulating dose-response or current-voltage curves both with and without a secondary stimulus (e.g. some drug). A series of video tutorials are available at https://www.youtube.com/watch?v=7I2XPkdOvCg&list=PL-J_lULjiFsCPL2pkz8_tFe_aJ4Fc8a8k&index=1. -
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
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Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.
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SIDoBI is an automatic summarization system for documents in Indonesian language. It is an acronym for Sistem Ikhtisar Dokumen untuk Bahasa Indonesia. SIDoBI is built based on MEAD, a public domain portable multi-document summarization system.
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GoldenOrb is a java library under the Apache License V2.0 for correlation, summarization and clustering of text information.
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The Gips project - Graph-based Information Processing and Search - develops a generic graph-based summarization framework. Third party modules can be plugged in, but basic functionality is provided.
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Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
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A set of classes for Natural Language Processing in PHP for: 1. Part of speech Tagging - Brill, n-gram, HMM 2. Princeton Wordnet querying and access 3. Document summarization 4. Document classification - EM, Bayes 5. Stemming - Porter, Lancaster
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