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Showing 17 open source projects for "image"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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SageMaker Training Toolkit
Train machine learning models within Docker containers
...The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. Write a training script (eg. train.py). Define a container with a Dockerfile that includes the training script and any dependencies. -
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Laravel Media Library
Associate files with Eloquent models
...The Pro version of the package offers Blade, Vue and React components to handle uploads to the media library and to administer the content of a medialibrary collection. The storage of the files is handled by Laravel's Filesystem, so you can use any filesystem you like. Additionally the package can create image manipulations on images and pdfs that have been added in the media library. -
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torchvision
Datasets, transforms and models specific to Computer Vision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via conda conda install libpng or any of the package managers for debian-based and RHEL-based Linux distributions, and libjpeg, which can be installed via conda conda install jpeg or any of the package managers for debian-based and RHEL-based Linux distributions. ... -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference,... -
Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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TensorFlow.js models
Pretrained models for TensorFlow.js
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You... -
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Michel Max - SSMS Tools 2019
Tools for Microsoft SQL Server Management Studio 2019
... - Copy/Paste Table Structure and Data (Client Side). - Grid Search, with advanced Extended and Regular Expression. - Grid Search Highlight. - Grid Style Markers. - Grid Export to JSON, Excel XML. - Grid Image Capture. - Configurable Header Text Template, with quick insert, so you can easily sign you codes. - Quick encapsulate code in region. -
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Michel Max - SSMS Tools 2014
Tools for Microsoft SQL Server Management Studio 2014
... - Copy/Paste Table Structure and Data (Client Side). - Grid Search, with advanced Extended and Regular Expression. - Grid Search Highlight. - Grid Style Markers. - Grid Export to JSON, Excel XML. - Grid Image Capture. - Configurable Header Text Template, with quick insert, so you can easily sign you codes. - Quick encapsulate code in region. -
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Michel Max - SSMS Tools 2017
Tools for Microsoft SQL Server Management Studio 2017
... - Copy/Paste Table Structure and Data (Client Side). - Grid Search, with advanced Extended and Regular Expression. - Grid Search Highlight. - Grid Style Markers. - Grid Export to JSON, Excel XML. - Grid Image Capture. - Configurable Header Text Template, with quick insert, so you can easily sign you codes. - Quick encapsulate code in region. -
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Michel Max - SSMS Tools 2016
Tools for Microsoft SQL Server Management Studio 2016
... - Copy/Paste Table Structure and Data (Client Side). - Grid Search, with advanced Extended and Regular Expression. - Grid Search Highlight. - Grid Style Markers. - Grid Export to JSON, Excel XML. - Grid Image Capture. - Configurable Header Text Template, with quick insert, so you can easily sign you codes. - Quick encapsulate code in region. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Michel Max - SSMS Tools 2012
Tools for Microsoft SQL Server Management Studio 2012
... - Copy/Paste Table Structure and Data (Client Side). - Grid Search, with advanced Extended and Regular Expression. - Grid Search Highlight. - Grid Style Markers. - Grid Export to JSON, Excel XML. - Grid Image Capture. - Configurable Header Text Template, with quick insert, so you can easily sign you codes. - Quick encapsulate code in region. -
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet' argument in model constructor for all image models, weights='msd' for the music tagging model). ... -
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System Map
Utility for software systems specifications
System Map is a utility for software developers that want to create well structured software products that are understood by all stakeholders from business to developer. It allows to: - Create "System Maps" to describe software products - Decompose systems deeply Also, it has some cool goodies: - Image viewer for linked wireframes - Track development progress - Trace the specification into the source code And it’s a team player: - System Maps can be exported to MS Word or as image - Freemind is very tightly integrated since it’s a great decomposer as well -
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QPNet
Synchronous Petri Nets' emulator
QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать. -
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set image plane
press ctrl button with shelf button to toggle imageplane
Sets Imageplane for your Autodesk Maya scene file, for the 3d Model you are working on. You must have this code in the shelf button : try: reload(setimgpln) except NameError: import setimgpln -
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A simple GUI front-end for the great AT&T-software Graphviz. While you edit your graph-file you can watch the resulting image(s) in real-time.
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Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.
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The Shrimp suite provides interactive visualizations of graph-based data. Creole (Eclipse plug-in) visualizes Java source code. Jambalaya (Protege plug-in) visualizes ontologies (including OWL), & Stand-Alone Shrimp visualizes RSF/GXL/PRJ/PPRJ files.
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