Showing 4 open source projects for "easy"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

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  • 1
    Arize Phoenix

    Arize Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)...
    Downloads: 3 This Week
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  • 2
    iTop - IT Service Management & CMDB

    iTop - IT Service Management & CMDB

    An easy, extensible web based IT service management platform

    Whether you’re an infrastructure manager handling complex systems, a service support leader striving for customer satisfaction, or a decision-maker focused on ROI and compliance, iTop adapts to your processes to simplify your tasks, streamline operations, and enhance service quality. iTop (IT Operations Portal) by Combodo is an all-in-one, open-source ITSM platform designed to streamline IT operations. iTop offers a highly customizable, low-code Configuration Management Database (CMDB),...
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    Downloads: 995 This Week
    Last Update:
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  • 3
    WhyLogs Java Library

    WhyLogs Java Library

    Profile and monitor your ML data pipeline end-to-end

    ...WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log files that can be used for monitoring, alerts, analytics, and error analysis. WhyLogs calculates approximate statistics for datasets of any size up to TB-scale, making it easy for users to identify changes in the statistical properties of a model's inputs or outputs. Using approximate statistics allows the package to run on minimal infrastructure and monitor an entire dataset, rather than miss outliers and other anomalies by only using a sample of the data to calculate statistics.
    Downloads: 0 This Week
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  • 4

    Arthropod Easy Capture

    An arthropod specific, specimen level data capture application

    Arthropod Easy Capture (AEC) is an arthropod specific, open-source solution for handling specimen level host interactions. Developed in conjunction with the Plant Bugs Planetary Biodiversity, Tri-Tropic Interactions TCN, and Bee Database projects, AEC is designed for rapid, and accurate data capture, utilizing controlled vocabularies to maintain data quality.
    Downloads: 0 This Week
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