Search Results for "linux vmware image" - Page 86
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Showing 6874 open source projects for "linux vmware image"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. Optional protections include API tokens, signed URLs,... -
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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quick-media
media(audio/image/qrcode/markdown/html/svg/png) support
quick-media is a lightweight multimedia processing toolkit designed to simplify common video and audio operations through streamlined command execution. It provides a wrapper around FFmpeg functionality, enabling users to perform tasks such as transcoding, clipping, and format conversion with simplified commands. The tool emphasizes ease of use while still allowing access to advanced encoding parameters when needed. It supports batch processing, making it efficient for handling multiple... -
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image-builder-rpi
SD card image for Raspberry Pi with Docker: HypriotOS
This repo builds the SD card image with HypriotOS for the Raspberry Pi 1, 2, 3, 4 and Zero. You can find released versions of the SD card image here in the GitHub releases page. To build this SD card image we have to take the files for the root filesystem from os-rootfs. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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We have now released version 2 of our EveryAuction-based software. This version is much more stable, with a now working auction editing facility and plenty of upgraded features. We now also have a new look which gives the script a more professional feel. We are currently looking for volunteers to help develop this script and help iron out a few bugs. Please contact me via the support link if you think you can help. :-) The bulky HTML editor has now been removed and been replaced with a...
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Orthanc Paper Scanner in Apache PHP
Paper Scanner and PDF insertion using PHP
The following project is a paper scanning portal that gives the Orthanc Pacs server the ability to interface with twain/wia scanners and insert the resulting pdf into the Orthanc database using a web interface integrated into the Orthanc web console. -
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Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
Keras implementation of a CNN network for age and gender estimation. This is a Keras implementation of a CNN for estimating age and gender from a face image [1, 2]. In training, the IMDB-WIKI dataset is used. Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained... -
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ATIF
Image format for console.
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Software Renderer
A shader-based software renderer written from scratch in C89
This is a shader-based software renderer written from scratch in C89 with minimal dependencies, available for Windows, macOS, and Linux. Pre-built binaries for Windows, macOS, and Linux are available for download from the Releases page. To build the software renderer from source, a C89 compiler and development files for your window system are required. Install Visual Studio with C++ support and run build_win32.bat. If the software renderer is launched without arguments, one of the available scenes will be chosen randomly. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own... -
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DSC is a software that allows you to customize your Discord status, much easier to use than EasyRP.
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Computer Vision Pretrained Models
A collection of computer vision pre-trained models
A pre-trained model is a model created by someone else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model... -
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passcore
A self-service password management tool for Active Directory
PassCore is a very simple 1-page web application written in C#, using ASP.NET Core, Material UI (React Components), and Microsoft Directory Services (Default provider). It allows users to change their Active Directory/LDAP password on their own, provided the user is not disabled. PassCore does not require any configuration, as it obtains the principal context from the current domain. I wrote this because a number of people have requested several features that the original version did not... -
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CAELinux
Dedicated to computer-aided engineering Linux distribution
CAELinux is an installable live (USB) Linux distribution dedicated to open source engineering with a focus on Computer Aided Engineering and Scientific Computing. Based on Ubuntu, it features a ready to use workstation environment for open source product development, makers and scientist with many CAD/CAM/CAE applications for mechanical design, stress analysis, heat transfer, flow simulation and CNC manufacturing / 3D printing as well as electronic design tools and a complete development... -
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repo2docker GitHub Action
A GitHub action to build data science environment images
Trigger repo2docker to build a Jupyter enabled Docker image from your GitHub repository and push this image to a Docker registry of your choice. This will automatically attempt to build an environment from configuration files found in your repository. Images generated by this action are automatically tagged with both latest and <SHA> corresponding to the relevant commit SHA on GitHub. Both tags are pushed to the Docker registry specified by the user. If an existing image with the latest tag... -
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Image Converter
Image Converter - Back2d
Image Converter- Back2d Is a simple but complete graphical image converter for selected formats. From Type: Bitmap - .bmp Jpeg - .jpg PNG (Portable Network Graphics) - .png Webp - .webp GIF Graphics Interchange Format - .gif To Type: Bitmap - .bmp Jpeg - .jpg PNG (Portable Network Graphics) - .png -
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GeniXCMS
Simple and Lightweight CMS Framework
GeniXCMS is a PHP Based Content Management System and Framework (CMSF). It's a simple and lightweight of CMSF. Very suitable for Intermediate PHP developer to Advanced Developer. Some manual configurations are needed to make this application to work. If You don't have a programming skills, please don't bother to download this. It will harm You anyway. -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a... -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. It highlights... -
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Discord Bot Client
A patched version of discord, with bot login support
Discord Bot Client allows you to use your bot, just like any other user account, except Friends and Groups. View Guilds (Lazy load them) Manage Guilds (Name, Image, Audit log, Emoji, Webhooks, Invites, Bans, Widget, Moderation, Roles) Manage Channels (Add, Delete, Name, Permissions, Invites, Webhooks, Slowmode, NSFW, Topic) Messages (Send, View History, Embeds, View Reactions, Add/Remove Reactions, Delete, Edit, Pin) Create a Guild (if the bot has fewer than 10 Servers) See Guild members in... -
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Exif UserComment Editor
Dialog box to edit Exif comment into images
Display a simple graphical dialog box to add or edit Exif UserComment contained into images. Supports Unicode UTF-8 characters. Originally developed as a plugin for Geeqie image viwer. It requires Python GTK+ and exiv2 tool. -
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Chastity Checkerboard
Drawing Checkerboards with the C Programming Language
There are multple files in this project and they contain my very best code that has been improved slowly for over a decade as I've found the time to work on my programming. By combining my experience with the C programming language and learning to use the SDL library starting in 2019, I managed to get a checkerboard on my computer screen. Since then I slowly removed all SDL dependent code and have learned to write the bytes of image file formats such as PBM,BMP, and even TIFF! I also... -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the... -
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Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive...
