Search Results for "linux image" - Page 19
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Showing 965 open source projects for "linux image"
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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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img2css
Convert any image to pure CSS. Recreates images using only box-shadows
This is a tool that can convert any image into a pure CSS image. I also made a per-pixel animation experiment using the box-shadow idea, see morphin. Pure CSS, this output was created by resizing and setting each pixel as a box shadow of a single-pixel div, so no IMG tag or background image is needed. This can result in huge outputs, and the use of this output is not recommended for production unless there is no other option. Base64, the entire image file is embedded inside the <img> tag... -
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Image Picker Library for Android
Image Picker for Android, Pick an image from Gallery
Easy to use and configurable library to Pick an image from the Gallery or Capture an image using a Camera. It also allows to Crop and Compress the Image based on Aspect Ratio, Resolution, and Image Size. Almost 90% of the apps that I have developed have an Image upload feature. Along with the image selection, Sometimes I needed a crop feature for my profile image for that I've used uCrop. Most of the time I need to compress the image as the image captured from the camera is more than 5-10... -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams,... -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles... -
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Rocky Linux 8 VirtualBox
Rocky Linux 8 Server VirtualBox Image
Rocky Linux 8 Server VirtualBox Image for username and password please visit https://vm.puvvadi.me -
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aws-mwaa-local-runner
CLI that replicates an Amazon Managed Workflows for Apache Airflow
This repository provides a command-line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) environment locally. The CLI builds a Docker container image locally that’s similar to an MWAA production image. This allows you to run a local Apache Airflow environment to develop and test DAGs, custom plugins, and dependencies before deploying to MWAA. To stop the local environment, Ctrl+C on the terminal and wait till the local runner and the postgres... -
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vae
Simple vae and cvae from keras
vae is a collection of Keras experiments implementing variational autoencoders and related generative models. It includes simple VAE and conditional VAE examples along with several alternative architectures. Separate scripts explore CelebA image generation, convolutional VAEs, clustering-oriented variants, hyperspherical latent spaces, and vector-quantized autoencoders. The repository includes sample output from a CelebA training run as a visual reference. Its documented environment uses... -
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Louvre
A small customizable library useful to handle an image gallery
A small customizable image picker. Useful to handle a gallery image pick action built-in your app. -
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WooCommerce Nextjs React Theme
React WooCommerce theme, built with Next JS, Webpack, Babel, Node
React WooCommerce theme, built with Next JS, Webpack, Babel, Node, and Express, using GraphQL and Apollo Client. WooCommerce Store in React( contains: Products Page, Single Product Page, AddToCart, CartPage and Checkout Page with country selection ). To use Hero carousel, create a category called 'offers' from WordPress Dashboard > Products > Categories. Now create and assign as many child categories to this parent 'offers' category with name, description, and image. These Child categories... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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jekyll-responsive-image
An unopinionated Jekyll plugin for generating responsive images
A Jekyll plugin for automatically resizing images. Fully configurable and unopinionated, Jekyll-responsive-image allows you to display responsive images however you like. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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Opyrator
Turns your machine learning code into microservices with web API
Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python... -
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Flutter Notebook
Collection of demo projects for Flutter
Flutter-Notebook is a curated collection of small demo projects for Flutter, designed to help developers learn and practice Flutter UI patterns and behaviors by example. The repository gathers many independent “mini apps” (each focused on one or a few features) so that learners can inspect, run, and understand individual Flutter behaviors in isolation. Demo of common UI behaviors (pull-to-refresh, left-swipe delete, JSON deserialization). Examples of state-preserving page... -
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m6811dis
M6811 Code-Seeking Disassembler
The M6811 Code-Seeking Disassembler is a command-line tool that lets you enter known starting vectors for a given code image for the 6811 micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering. Originally written to analyze code from GM automotive engine controllers, but is... -
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Makisu
Fast and flexible Docker image building tool
Fast and flexible Docker image-building tool, that works in unprivileged containerized environments like Mesos and Kubernetes. -
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Cypress Image Snapshot
Catch visual regressions in Cypress
Cypress Image Snapshot binds jest-image-snapshot's image diffing logic to Cypress.io commands. The goal is to catch visual regressions during integration tests. -
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GUI-lite
The smallest header-only GUI library(4 KLOC) for all platforms
The smallest header-only GUI library (4 KLOC) for all platforms. Cloud + IoT Solution: master your IoT business all over the world. Multi-language supports UTF-8; Playback Video. Toolkit for building font/image resources. Code Telemetry and Analysis in real-time (remove .sh/.bat files if dislike sharing). Even a C beginner could master GUI-lite quickly. The source code only uses basic C++ features (class, virtual function). We chose C++ as it could make the code size significantly smaller... -
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dockerfiles
Various Dockerfiles I use on the desktop and on servers
Dockerfiles repository is a large catalog of container recipes used for desktop applications, command-line tools, development utilities, security software, and server workloads. It is not a single application, but a practical collection of isolated Linux environments for many different programs. Individual directories generally contain a Dockerfile and a documented command showing how to run the resulting image. Many images are published through Docker Hub and a publicly accessible registry maintained by the author. A repository-level Makefile can build all images, test Dockerfile changes, run selected containers, check software versions, and lint shell scripts. ... -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and... -
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linuxforbiologists
A virtual machine image based on Linux Mint 20.1
Default user and password: user -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
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Android Resource Manager - ARM
Cross Platform Android Resource Manager to help you improve your code
Cross-Platform tools to manage your resources as an Android Developer, ARM provide five main services to you - Image Resize Service You can easily resize your drawables, mipmap or normal images with unlimited number of sizes, the default sizes are 7 which are ldpi, mdpi, tvdpi, hdpi, xhdpi, xxhdpi, xxxhdpi and you can add or remove sizes and preview your image - Keyword Search Service Search in all your Java, Kotlin, C++, Xml and normal text files for this keyword and show you the... -
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ASCII Art
Real-Time ASCII Art Rendering Library
A header-only, C/C++ library that lets you transform an input image or video frame into printable ASCII characters in real-time using a single decision tree. ASCII Art is a single header, C/C++ library developed by PixLab and based on the work of Nenad Markus that let you transform an input image or video frame into printable ASCII characters at real-time using a single decision tree. Real-time performance is achieved by using pixel intensity comparison inside the internal nodes of the tree. -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,...
