Showing 5 open source projects for "java task tracker"

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  • Composable, Open Source Payments Platform Icon
    Composable, Open Source Payments Platform

    Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

    Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
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  • Virtual data rooms designed to achieve better outcomes Icon
    Virtual data rooms designed to achieve better outcomes

    Now you can get ready for and experience success in M&A, divestments, capital raising, restructure, IPOs, tenders and more

    Ansarada is a SaaS company that provides world-leading AI-powered Virtual Data Rooms and dealmaking tools. These tools include advanced AI insights and automation, next level Q&A and collaboration, plus pre-built, digitized and customizable workflows and checklists - known as Pathways - for M&A, capital raising, business audits, tenders and other high stakes outcomes.
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  • 1
    Netflix Maestro

    Netflix Maestro

    Netflix’s Workflow Orchestrator

    Maestro is a large-scale workflow orchestration platform originally developed by Netflix to coordinate complex data processing and machine learning workflows across distributed systems. The system acts as a general-purpose workflow orchestrator that manages the execution, scheduling, monitoring, and recovery of large pipelines used for analytics and AI operations. It was designed to support the demanding internal infrastructure of Netflix, where thousands of workflows must process massive...
    Downloads: 1 This Week
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  • 2
    Easy Machine Learning

    Easy Machine Learning

    Easy Machine Learning is a general-purpose dataflow-based system

    Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from being realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our...
    Downloads: 2 This Week
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  • 3

    AdPreqFr4SL

    Adaptive Prequential Learning Framework

    The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we...
    Downloads: 0 This Week
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  • 4
    Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
    Downloads: 0 This Week
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  • JS7 JobScheduler is an open source workload automation solution. Icon
    JS7 JobScheduler is an open source workload automation solution.

    JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API.

    JS7 JobScheduler is an open source workload automation solution. It is used to run executable files, shell scripts etc. and database procedures.
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  • 5

    Supertagger

    Software for assigning supertags.

    Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
    Downloads: 0 This Week
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