Search Results for "virtual-machine" - Page 30
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Showing 2278 open source projects for "virtual-machine"
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µPipenv
A lightweight wrapper for pip to support requirements.txt
A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them. if requirements.txt state all the packages in a pinned version with hashes (e.g. pip-tools), micropipenv installs packages with a possible fallback if the installation order is relevant. micropipenv does not substitute Poetry it rather complements it for containerized deployments... -
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Proxy yxorP
Proxy 🦄 .yxorP [v2.1] Plug & Play Stateful SAAS(y), Multi-tenancy
yxorP is a plug-and-play, flat-file application that does not need Composer, PHP CURL, or databases; these are all optional additions that are fully supported. yxorP is intended to act as a proxy that can edit or update the content of multiple websites using a PHAR (PHP archive) binary version of Guzzle, and managed via a user-friendly Cockpit backend (GUI). The incoming request hostname is used to fetch site-specific requirements from the backend, the target website is then retrieved and... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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waybackurls
Fetch all the URLs that the Wayback Machine knows about for a domain
waybackurls is a command-line reconnaissance tool that retrieves historical URLs associated with a given domain by querying the Internet Archive’s Wayback Machine. It accepts input domains via standard input and outputs a list of discovered URLs, making it easy to integrate into pipelines and automated workflows. The tool is particularly valuable in security research, bug bounty hunting, and penetration testing, as it uncovers endpoints that may no longer be publicly linked but still exist on servers. ... -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
...It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. ... -
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V2RayCloudSpider
V2RayCloudSpider
V2RSS is an "ecological mining machine" that can perform vertical mining on global providers based on the SSPanel-Uim framework; it can generate bottom-up "aggregation collection" tasks for mainstream protocol headers; it can self-digest and Compared with proxypool , the output is purer and more reliable proxy nodes; it has powerful production features such as self-discovery and service self-healing. -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other... -
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Cassowary
Run Windows Applications on Linux as if they are native
Run Windows Applications on Linux as if they are native, Use Linux applications to launch files located in the windows vm without needing to install applications on vm. With easy-to-use configuration GUI. -
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Cipol8
A Windows Console Based CHIP-8 Interpreter
An hacky CHIP-8 interpreted coded in c#, with no dependencies other that the windows console. The goal was to understand how a bytecode interpreter works, not a perfect CHIP-8 emulation. -
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Lad
Lad is the best Node.js framework
...Mongoose and MongoDB with common database plugins. Email template engine with Nodemailer and local rendering. The proxy eliminates the need for Nginx reverse-proxy or Apache virtual hosts. Multilingual through built-in i18n translation support (see configuration). -
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TestButton
Button appearance tester
... * It has different options for customizing button appearances * It is used for shows from the button (two to five) statuses as limited ( normal, click, disabled hover, selected) * it has a fully virtual test status of a button * it has a full option of controlling the appearance of the status button * The source code is included in the setup file for (MSVC) and has been tested with a fully working against VS 2019. -
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Trellis
Trellis Programming System
JIT compiled abstract machine for the Trellis Programming System featuring multimethod dispatch and pseudo-assembly similar to ECMA335. -
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OpenCV-MinGW-Build
MinGW 32bit and 64bit version of OpenCV
OpenCV-MinGW-Build is a toolkit and set of build scripts that make it easier to compile OpenCV with the MinGW (Minimalist GNU for Windows) toolchain on Windows platforms. OpenCV itself is a widely used open-source computer vision and machine learning library, but building it on Windows with MinGW can be tricky due to compiler and dependency mismatches, configuration quirks, and platform differences. This repository packages automation, patched CMake configs, and step-by-step instructions so you can generate OpenCV binaries that work with MinGW GCC rather than being tied to MSVC (Microsoft Visual C++). ... -
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CountBitsSet
minimal benchmark code for Counting Set Bits (ones) in an Integer
...PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside countbisset (hamming weight): ceil(log2()) + floor(log2()), bitreverse, ... I also recommand to try the code with different compilers and / or plattforms. PS: see result.txt in Code, to see various runs with different compilers and compiler switches -
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Proxy Manager
OOP Proxy wrappers/utilities to manage proxies of your objects
...Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. The suggested installation method is via composer. Build a lazy loadable object with ProxyManager using a Virtual Proxy. -
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
...This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. The mlio package is only available through conda at the moment. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. ... -
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humanize
Python humanize functions
humanize is a Python utility library for converting machine-oriented numbers, dates, durations, and sizes into readable text. It can format large integers with separators or abbreviations such as millions and billions. Date and time helpers produce natural expressions such as relative times, human-readable dates, and approximate durations. Precise duration formatting can break intervals into days, hours, minutes, seconds, milliseconds, and smaller units. -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. ... -
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metasploitable3-ub1404upgraded
An ova file for Metasploitable 3 ubuntu 14.04 virtual machine
An ova file for Metasploitable 3 ubuntu 14.04 virtual machine. Download here https://sourceforge.net/projects/metasploitable3-ub1404upgraded/files/ Upgraded build from this project https://github.com/rapid7/metasploitable3 apt update && apt upgrade ran on it Jan 8, 2022 . ESM repository not added so 169 or so security updates could be made further. Otherwise ubuntu no longer supplies upgrades to 14.04. -
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Arxiv Sanity Lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations
Arxiv Sanity Lite is a lightweight rewrite of Karpathy’s original arXiv discovery tool for tracking machine-learning research. It periodically polls the arXiv API for new papers and stores them locally for browsing. Users can tag papers they find relevant and receive recommendations tailored to each tag. Recommendations are generated with support vector machines trained on TF-IDF features extracted from paper abstracts. The web interface supports searching, ranking, sorting, and filtering the indexed collection. ... -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. The architecture of... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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SharkLinux
Virtualization Focused OS & Cloud Compatible Desktop Environment
SharkLinux is a 64 bit Linux Desktop that specializes in virtualization. The OS is based on Ubuntu 20.04 and features a custom MATE/XFCE desktop capable of running on a cloud server with little impact on performance. The OS runs KVM as the primary hypervisor and provides a wide range of tools to build and run VM's and containers. SharkLinux has several distinct qualities from other Linux systems such as; automatic system upgrades, sudo users can run shell commands without a password.... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. ... -
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Sentinel Golang
Sentinel Go enables reliability and resiliency for Go microservices
...Rich applicable scenarios: Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double-11 (11.11) Shopping Festivals in the past 10 years, such as “Second Kill” which needs to limit burst flow traffic to meet the system capacity, throttling, circuit breaking for unreliable downstream services, distributed rate limiting, etc. Real-time monitoring: Sentinel also provides real-time monitoring ability. You can see the runtime information of a single machine in real-time, and pump the metrics to outside metric components like Prometheus.
