Search Results for "image processing framework" - Page 12
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736 projects for "image processing framework" with 1 filter applied:
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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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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With these packages for Delphi the user can easily create VST plugins or ASIO applications within minutes. The included algorithms for filters and dynamics help to built effects without much knowledge of digital signal processing.
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IMLAB
A Free Experimental System for Image Processing
ImLab is a free open source graphical application for Scientific Image Processing that runs in Windows, Linux and many other UNIX systems. It supports multiple windows, data types including 32 bit integers, 32 bit real numbers and complex numbers. -
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course-v3
The 3rd edition of course.fast.ai
...The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying theory and mathematics. The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems. -
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tensorflow_template_application
TensorFlow template application for deep learning
...It is particularly useful for developers who want to transition from experimental notebooks to structured machine learning applications. By providing a reusable framework, the template reduces the time needed to set up new TensorFlow projects and encourages consistent development practices. -
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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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 generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. ... -
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medical image analysis
Libraries and command line tools for medical image processing.
This software provides libraries and command line tools for the processing and analysis of gray scale medical images. -
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ruia
Async Python framework for fast and flexible web scraping spiders
...Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
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Haxentric
An Adobe/Apache Flex-like Haxe/HTML/JavaScript Framework
Haxentric is a client side Haxe/HTML/JavaScript framework. It is similar to Adobe/Apache Flex (but not the same). It has a precompiler (named HPC) which converts HXML codes to Haxe classes. Haxe classes are converted to JavaScript codes by the Haxe compiler. It has a packager (named HPKG) which creates single HTML applications. And with the embedder (named HE) you can embed text files into a class. Available under LGPL 3.0. -
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Twitter Image Pipeline
Twitter Image Pipeline is a robust and performant image loading
The Twitter Image Pipeline is a streamlined framework for fetching and storing images in an application. The high-level concept is that all requests to fetch or store an image go through an image pipeline which encapsulates the work of checking the in-memory caches and an on disk cache before retrieving the image from over the network as well as keeping the caches both up to date and pruned. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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ALAE
Adversarial Latent Autoencoders
ALAE (Adversarial Latent Autoencoders) is a deep learning research implementation that combines autoencoders with generative adversarial networks to produce high-quality image synthesis models. The project implements the architecture introduced in the CVPR research paper on Adversarial Latent Autoencoders, which focuses on improving generative modeling by learning latent representations aligned with adversarial training objectives. Unlike traditional GANs that directly generate images from... -
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MaLiang
iOS painting and drawing library based on Metal
MaLiang is a painting framework based on Metal. It supports drawing and handwriting with customized textures. The name of "MaLiang" comes from a boy who had a magical brush in a Chinese ancient fairy story. A Canvas is the basic component of MaLiang. You will paint all things on it. Canvas extends from MetalView, which extends from MTKView. MetalView handles all the logic with MetalKit and hides them from you. MaLiang supports the automatic adjustment of stroke size with painting force. 3D... -
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TymeacSE
Task Parallel Engine for JavaSE
TymeacSE is a full-feature, multi-threading, fork-join framework for Java SE development (RMI and internal server). TymeacSE provides a high performance queuing facility, professional thread management and recursive processing that is easy to use. -
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jsoncat
Lightweight HTTP framework built in Java
jsoncat is a lightweight HTTP framework built in Java (using Netty) that aims to replicate some of the feel of Spring Boot—but in a minimal, educational style focused on clarity rather than full enterprise complexity. The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. -
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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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NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP
NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional models for text processing, and transformer-style attention mechanisms. ... -
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
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openQA
openQA web-frontend, scheduler and tools
openQA is an automated testing framework designed to test the entire operating system, including the installation process and graphical user interfaces. It is particularly useful for testing complex scenarios that require interaction with the system's GUI. -
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Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
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uTensor
TinyML AI inference library
uTensor is an embedded machine learning inference framework designed to run neural network models on resource-constrained devices such as microcontrollers and Internet-of-Things hardware. The project focuses on enabling TinyML deployments by translating trained machine learning models into efficient C++ code that can execute directly on embedded systems. Instead of training models on-device, the framework uses an offline workflow that converts trained TensorFlow graphs into optimized inference kernels suitable for constrained environments. ... -
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BRIC
BRIC is a powerful tool for batch image processing.
Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten. -
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Primitive Pictures
Reproducing images with geometric primitives
Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape. -
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ffmpeg.js
Port of FFmpeg with Emscripten
ffmpeg.js is a JavaScript port of the FFmpeg multimedia framework compiled with Emscripten, enabling video and audio processing directly within browsers or Node.js environments. It provides prebuilt modules optimized for web use, balancing performance and file size while supporting common encoding and decoding tasks. By running entirely in JavaScript through asm.js, it allows developers to manipulate media files without requiring native binaries or server-side processing. ... -
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Python Crawler Tutorial Starts From Zero
Python crawler tutorial, taking you from zero to one
Python Crawler Tutorial Starts From Zero is a Chinese-language learning repository that teaches web crawling from introductory concepts through practical examples. Early lessons explain HTTP requests, request analysis, the Python Requests library, and common categories of extracted data. Separate chapters cover JSON processing and regular expressions for transforming responses into structured information. Practical exercises demonstrate crawlers for Douban movies, Baidu Tieba, and Baidu Translate. Broader project materials also address topics such as JavaScript reverse engineering, Selenium automation, OCR, MongoDB, and the Scrapy framework. Code demonstrations accompany the written lessons so readers can learn by modifying working examples. ... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
