Search Results for "install with"
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Showing 8 open source projects for "install with"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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SciPy
SciPy library main repository
...SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself! -
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sharp
High performance Node.js image processing module
...As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output. -
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Panel Splitter for Adobe Photoshop
Instantly crop & export images along the guides in Adobe Photoshop
...But, it lacks the ability to export each panel in high quality state & the Export feature is deprecated in modern versions. 🖥️ How to use Panel Splitter? - Download Panel Splitter for Adobe Photoshop - Double click on the downloaded setup file and install the software. - Start Panel Splitter and click Install, Panel Splitter will automatically identify installed Photoshop versions and configure. - If your Photoshop application is already opened, close and restart it. (First time only; to load the script to PS Read More at: https://github.com/Dilshan-H/Panel-Splitter -
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kgclock
Desktop Analog Clock for Linux and notification system
...Also provided is a .deb package which can be installed using 'dpkg -i <package>'. The binary tarball should work for any 64 bit Linux distribution. If one prefers to build from source one need to install Kulina Graphics also. One specialty of 'kgclock' its low cpu usage, after one minute it is negligible. -
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MMDeploy
OpenMMLab Model Deployment Framework
...Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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Astronomy Linux 21.04
This is an open project "Astronomy Linux 21.04" for amateurs
...This image contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ********************************************************************************** ************************* Do you need any help? ... -
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Astronomy Linux 19.04
This is an open project "Astronomy Linux 19.04" for amateurs
...This DVD contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ********************************************************************************** ************************* Do you need any help? ... -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on...
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