Showing 2 open source projects for "unknown"

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  • ManageEngine Endpoint Central for IT Professionals Icon
    ManageEngine Endpoint Central for IT Professionals

    A one-stop Unified Endpoint Management (UEM) solution

    ManageEngine's Endpoint Central is a Unified Endpoint Management Solution, that takes care of enterprise mobility management (including all features of mobile application management and mobile device management), as well as client management for a diversified range of endpoints - mobile devices, laptops, computers, tablets, server machines etc. With ManageEngine Endpoint Central, users can automate their regular desktop management routines like distributing software, installing patches, managing IT assets, imaging and deploying OS, and more.
  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
  • 1
    Finance Database

    Finance Database

    This is a database of 300.000+ symbols containing Equities, ETFs, etc.

    ... unknown. This database tries to solve that. It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor.
    Downloads: 3 This Week
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  • 2
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in...
    Downloads: 0 This Week
    Last Update:
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