Search Results for "virtual-machine" - Page 63

Showing 1565 open source projects for "virtual-machine"

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  • 1
    Monk Computer Vision

    Monk Computer Vision

    A low code unified framework for computer vision and deep learning

    ...Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders.
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  • 2
    PloneShellConsole is a Plone product, which intends to provide an web interface to manage, execute, and track shell scripts in any remote machine.
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  • 3
    Rescuezilla

    Rescuezilla

    The Swiss Army Knife of System Recovery

    Rescuezilla is an easy-to-use disk cloning and imaging application that's fully compatible with Clonezilla — the industry-standard trusted by tens of millions. Yes, Rescuezilla is the Clonezilla GUI (graphical user interface) that you might have been looking for. **See: https://rescuezilla.com/ for download links** **NEW** Weekly rolling release downloads: https://github.com/rescuezilla/rescuezilla/releases Rescuezilla is a fork of Redo Backup and Recovery (now called Redo...
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  • 4
    OS Farm is a service for generating and storing Xen VM images and Virtual Appliances. A live demo can be found at http://cern.ch/osfarm
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    MongoDB Atlas runs apps anywhere

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  • 5
    LocalLLM Studio

    LocalLLM Studio

    Chat with local GGUF LLMs on your own machine

    Chat with local GGUF LLMs on your own machine — private, offline, model-agnostic. LLM Apps & Agents Apache-2.0 v1.0.5 100% AI-built 0 0 Get LocalLLM Studio View source Website Run open-weight language models (GGUF) fully offline on your own hardware via llama.cpp: a chat interface with system prompts, conversation history, adjustable sampling, and simple retrieval over your own files.
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  • 6
    This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
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  • 7
    Lintory is a Django based python application that aims to help keep track of software licenses, license requirements, hardware, MAC addresses, users and locations while supporting multiple OS, dual boot systems, and virtual machines.
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  • 8
    Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.
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  • 9
    cloud-file-system-sdk

    cloud-file-system-sdk

    CloudFile File System SDK

    EaseFilter Cloud File System is a Windows virtual file system which was developed with the file system filter driver. The Cloud File System integrates the cloud storage into the on-premise storage, it lets on-premise application access the cloud files transparently, just as they would access on-premise regular files. With the Cloud File SDK, the developers can implement the cloud disaster recovery (Cloud DR) solution, seamlessly integrate your existing applications to the cloud environment without affecting the original data and programs, without any modification of your existing applications. ...
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  • 10
    Client/Server-splitted IRC-Client, Designed to run the Server on a remote machine staying connected to the IRC-Servers and having the client connected when chatting. Server can log all conversations. Dont miss any important message anymore!
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  • 11

    MoViT

    MoViT: The Mobile Network Virtualized Testbed

    ...The distributed nature of MoViT allows for the emulation of mobile networks of arbitrary size. Additionally, the network connectivity is shaped transparently such that the connectivity observed by each virtual node resembles that of a physical mobile network.
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  • 12
    Providing a Web based console to manage a remote machine: copy/paste, execute commands, edit files, exectue SQL statement, provide AJAX based look and feel, and more...
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  • 13
    litersta

    litersta

    Litersta - textual analytics - software

    Unstructured text is no match for Litersta - see further details here: https://litersta.com Working with text now becomes effortless when paired with Litersta textual analytics software. Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics. Litersta - textual analytics - software leverages statistical algorithms to programmatically locate, and extract, overall document...
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  • 14

    Firefly's Clean Lzo

    A human-readable ISC-Licensed implementation of the LZO1X algorithm.

    ...The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language. I expect a severe performance degradation, but I leave optimizing for speed to other people.
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  • 15
    Green Cloud Online portal

    Green Cloud Online portal

    Green cloud: A versatile sensor based precision agriculture system, in

    ...The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website
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