Search Results for "image processing framework"
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13 projects for "image processing framework" with 2 filters applied:
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Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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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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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.
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TOFSIMS
R/Bioconductor toolkit for mass spectrometry data
The tofsims project is an R/Bioconductor toolkit designed for processing, analyzing, and visualizing imaging mass spectrometry data from Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) instruments. It supports importing raw and preprocessed data from popular instrument platforms (e.g. IONTOF, Ulvac-Phi) and provides methods for mass calibration, peak picking, and peak integration. The package allows transformation of spectra into 2D image structures (mass images), with operations such as binning, scaling, subsetting, and visual rendering. ... -
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Gimias
Graphical Interface for Medical Image Analysis and Simulation
GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development. -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. ... -
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OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
...Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models. -
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DReAMSim
Dynamic Re-configurable Autonomous Many-task Simulator
DReAMSim provides a simple simulation framework for modeling homogeneous and/or heterogeneous (re)-configurable processing elements in a large-scale distributed environment. In particular, DReAMSim enables users to model task scheduling techniques at a preliminary design stage in order to investigate their performance potential. The simulation framework makes it easy to extract various performance and resource utilization related statistics to study the behavior of different task scheduling techniques. ... -
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IFoam is an OpenFOAM derived framework. It uses Python programming language for definition of its API. Itegrates visual components for limited post-processing. Provides access to some GUI components for more efficient set up the simulation cases.
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MutanT is an cross platform framework for performing multi-sensor data processing. It is not limited to any specific task but can be extended arbitrarily by users and developers. Data processing is performed by a chain of filters, a use can combine.
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A Simple and Efficient Framework for Infinite Resolution Simulation; provides a Java Thread-like class that executes over simulated time. Time units are user-definable, no time quanta, and neither changes to the VM nor pre-processing are required.
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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The MuDiSP3 is a set of C++ classes acting as a framework for the execution of Digital Signal Processing (DSP) simulations. The entire simulated system is represented by a "System" class which inherits his properties from a general purpose DSP. The user c
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The Stanford Robotics Toolkit. An extensive, plugin-based architecture supporting the simulation and implementation of robotics algorithms. Designed for research purposes, the framework features a processing environment, a 3D GUI, and a CARMEN interface.
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Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de
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