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Host LLMs in Production With On-Demand GPUs
NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
An OS/hardware vendor independent GPU accelerated image and video processing library written in C. Interface allows easy combination and manipulation of customizable filters. Works with an active OpenGL context.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
3D cellular automata modelling software for large general purpose simulations. Uses custom scripts for rules and can distribute processing over several machines.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini 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.
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.
ImLib3D is a C++ library and visualisation system for 3D image processing. It contains most basic image processing algorithms, and some more sophisticated ones. ImLib3D images are STL-compliant templated containers. Keywords: Medical, MRI, Brain
Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.
New customers can spin up VMs, build with AI, and query data at no cost.
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cy.prus is a cross platform simulation environment for medical cybernetics and systems biology.
Its purpose is to provide both a facility for simulating life and a GUI for easily constructing biological information processing structures based on XML.
Feature extraction toolkit based on a wavelet multiscale
vision model. Includes 1D signal processing sample application for line
identification and classification of astronomical spectra.
Gaia is a java based volume rendering library that uses OpenGL. This project focuses on the rendering of images using ray-casting and Jini's JavaSpaces for parallel processing abilites.
The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.
Bloof is an infrastructure for analytical processing of version control data. The main distribution provides a GUI for visualizing the evolution of a software project. External tools can access Bloof via Java API and a XML result mechanism.
Webbased groupware written in php,mysql. Supports log,events,project management, calendar, todolist, contact management, cvs (file management). Next version includes a rss feed
OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
This package is a collection of libraries, dataprocessing filters, and UI applications to aid in the analysis and visualization of scientific data stored in the Radar Data Format.
SImg is astronomical image processing software for Linux. Some of the features are deconvolution (various algorithms), removing interferences, automatic shifting of images, computation of PSF and and a visualization tool.
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g.