Search Results for "image processing framework"
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Showing 185 open source projects for "image processing framework"
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Build AI Apps with Gemini 3 on Vertex AIVertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
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Gantry Framework
Next Generation Template / Theme Framework
Develop CMS themes quickly and efficiently while providing flexibility and ease of use for end-users. Gantry was born when the RocketTheme development team wanted to consolidate our extensive set of custom Grav, Joomla and WordPress theme functionality into a simple, easy-to-use framework. Yes, that’s right! Gantry 5 has a powerful and easy-to-use Layout Manager that ensures controlling the layout is a highly visual experience. When we started the Gantry 5 project, we wanted to think past... -
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Erupt Framework
Pure Java annotation, single class file, rapid development
Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring... -
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SageMaker Spark Container
Docker image used to run data processing workloads
...The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker. -
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SDWebImageSwiftUI
SwiftUI Image loading and Animation framework powered by SDWebImage
SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. -
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Kapacitor
Open source framework for processing, monitoring, and alerting
Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB. -
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Armbian Linux Build Framework
Armbian Linux Build Framework
Powerful menu-driven configuration tool along with stock Debian utilities. BASH shell and lightweight XFCE-based desktop. Standard boot, config, and update methods with minimal user-space footprint. Special config utilities are optional. A distributed image is compressed to its real data size which starts below 1G. Login is possible via serial, HDMI/VGA or SSH. Boot loader and kernel optimizations, memory caching, ZRAM swap, and video acceleration where applicable. Images are made fully... -
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Posturr
A macOS app that blurs your screen when you slouch
...This approach turns posture correction into an interactive feedback loop that doesn’t require wearables or external sensors, prioritizing privacy because all image processing happens on the device with no cloud transmission. It’s helpful for people who spend long hours working at a desk and want a gentle reminder to maintain ergonomic alignment without intrusive notifications. -
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Membrane Core
The core of Membrane Framework, multimedia processing framework
membrane_core is the foundation of the Membrane multimedia framework for Elixir, providing the abstractions and runtime needed to build real-time audio and video pipelines. It models media processing as a graph of lightweight, supervised OTP processes—elements connected by links—so work is isolated, fault-tolerant, and easy to scale or reconfigure at runtime. The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format negotiation to keep components interoperable and type-safe. ... -
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django-rest-framework-gis
Geographic add-ons for Django REST Framework
Geographic add-ons for Django Rest Framework. Provides a GeometryField, which is a subclass of Django Rest Framework (from now on DRF) WritableField. This field handles GeoDjango geometry fields, providing custom to_native and from_native methods for GeoJSON input/output. While precision and remove_duplicates are designed to reduce the byte size of the API response, they will also increase the processing time required to render the response. -
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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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. -
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SentenceTransformers
Multilingual sentence & image embeddings with BERT
SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings. The initial work is described in our paper Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. You can use this framework to compute sentence / text embeddings for more than 100 languages. These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. -
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NNCF
Neural Network Compression Framework for enhanced OpenVINO
NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency. -
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uwsgi-nginx-flask
Docker image with uWSGI and Nginx for Flask applications in Python
Image with uWSGI and Nginx for Flask apps in Python running in a single container. Docker image with uWSGI and Nginx for Flask web applications in Python running in a single container. Optionally using Alpine Linux. This Docker image allows you to create Flask web applications in Python that run with uWSGI and Nginx in a single container. -
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Krayin CRM
Free & Opensource Laravel CRM solution for SMEs and Enterprises
Krayin CRM is a hand-tailored CRM framework built on some of the hottest open-source technologies such as Laravel (a PHP framework) and Vue.js a progressive Javascript framework. Free & Opensource Laravel CRM solution for SMEs and Enterprises for complete customer lifecycle management. We also have a forum for any type of concerns, feature requests, or discussions. Please visit: Krayin CRM Forums. -
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Edit Banana
Edit Banana: A framework for converting statistical figures
Edit Banana is an innovative web application designed to simplify image editing by merging intuitive user interfaces with powerful generative AI capabilities, enabling users to quickly enhance, manipulate, or transform photos without needing advanced design skills. It provides a smooth, browser-based experience where users can upload images, make precise edits such as background removal or inpainting, and apply stylistic transformations or corrections through AI prompts. The tool focuses on... -
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Apache Flink
Stream processing framework with powerful stream
Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level... -
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Botonic
Build chatbots and conversational experiences using React
Botonic is a full-stack Javascript framework to create chatbots and modern conversational apps that work on multiple platforms, web, mobile and messaging apps (Messenger, Whatsapp, Telegram, etc). Building modern applications on top of messaging apps like Whatsapp or Messenger is much more than creating simple text-based chatbots. Botonic is a full-stack serverless framework that combines the power of React and Tensorflow.js to create amazing experiences at the intersection of text and... -
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Peinture
A general-purpose AI image generation framework that supports HF
Peinture is a sleek, dark-themed web application that brings AI-powered image generation to artists, designers, and casual creators through a modern interface built with React, TypeScript, and Tailwind CSS. Instead of tying users to a single service, Peinture integrates multiple backend providers, including Hugging Face, Gitee AI, Model Scope, and others, so you can switch between models or extend support to custom endpoints — giving you flexibility over where and how your images are... -
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and... -
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Aimeos core
Aimeos PHP ecommerce framework for ultra fast online shops
Aimeos-Core is the core library and framework for the Aimeos ecommerce ecosystem, providing the essential building blocks for flexible, scalable online shops, marketplaces, and enterprise commerce applications. Unlike a monolithic shop application, Aimeos-Core is designed as a modular framework that you can embed into your own web app, enabling you to define custom front-ends and workflows while relying on its robust commerce services for catalog, cart, checkout, orders, and customer... -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ... -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write... -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
...It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected.
