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Showing 4 open source projects for "word prediction software"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • Globalscape Enhanced File Transfer (EFT) is a best-in-class managed file transfer (MFT) solution Icon
    Globalscape Enhanced File Transfer (EFT) is a best-in-class managed file transfer (MFT) solution

    For Windows-Centric Organizations Looking for Secure File Transfer solutions

    Globalscape’s Enhanced File Transfer (EFT) platform is a comprehensive, user-friendly managed file transfer (MFT) software. Thousands of Windows-Centric Organizations trust Globalscape EFT for their mission-critical file transfers.
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  • 1
    RefineNet

    RefineNet

    RefineNet: Multi-Path Refinement Networks

    RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets...
    Downloads: 8 This Week
    Last Update:
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  • 2

    CupidTool

    Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks

    Chiu et. al., Genome Research 2014 Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. We showed that our integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines. Cupid is implemented in 3 steps: Step 1: re-evaluate candidate miRNA binding sites in 3’ UTRs, as inferred by TargetScan,...
    Downloads: 1 This Week
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  • 3
    Kernel Adaptive Filtering Toolbox

    Kernel Adaptive Filtering Toolbox

    a Matlab benchmarking toolbox for kernel adaptive filtering

    ...A Matlab benchmarking toolbox for kernel adaptive filtering. Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance. See the included README file for a list of included algorithms and more details. If you use this toolbox in your research please cite: @inproceedings{vanvaerenbergh2013comparative, author = {Van Vaerenbergh, Steven and Santamar{\'i}a, Ignacio}, booktitle = {2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE)}, title = {A Comparative Study of Kernel Adaptive Filtering Algorithms}, year = {2013}, note = {Software available at \url{https://github.com/steven2358/kafbox/}} }
    Downloads: 0 This Week
    Last Update:
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  • 4
    Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
    Downloads: 0 This Week
    Last Update:
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  • LinkSquares: All-in-One Contract Management Platform Icon
    LinkSquares: All-in-One Contract Management Platform

    #1 Customer Rated CLM Any Contract. Every Department. One Platform.

    LinkSquares is the leading Contract Lifecycle Management (CLM) software designed to help legal, procurement, and business operations teams master the entire contract lifecycle, from creation to execution and renewal. The platform transforms how companies manage agreements by centralizing data, automating routine work, and providing actionable insights powered by AI. This single, connected source of truth helps teams eliminate manual processes, streamline workflows, boost visibility, and ensure compliance across thousands of contracts, ultimately reducing risk and administrative burden.
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