Search Results for "fitting" - Page 3
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60 projects for "fitting" with 1 filter applied:
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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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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, image segmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
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MiniRail is a Java/Swing-based application for the planning of model railway systems. It integrates an extensible railway-piece library, automated end-fitting, railway reports and much more in an easy-to-use,zoomable,flexible track planner user interface.
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The RooFit package provides a toolkit for modeling the expected numerical distributions of the results of a scientific experiment. Models created with RooFit can be used for fitting, visualization, and Monte Carlo studies.
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Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
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The Synaptic Simulator is a program which simulates models of single neuronal synapses and compartments, complex constructs of such models. Furthermore the program is able to regain parameters by fitting simulated results with experimental data.
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CodePrinter is a tiny utility to print out source code or other text files. Its main intent is to provide you with print-outs used in code reviews and to save some paper by fitting two code pages onto one sheet of paper.
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grafix: SGML-based scientific diagram editor, can do arbitrary user-defined transformations of input data, data interpolation by several methods, and curve fitting to arbitrary user-defined functions; generates PostScript (EPS) output
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Scientific data acquisition and visualization package with easy-to-learn script language and powerful widgets (including 2D graphs with nonlinear curve fitting). Support for Serial ports, GPIB devices and Labcards, localy or remotely using RPC over TCP
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Ministral 3 3B Base 2512
Small 3B-base multimodal model ideal for custom AI on edge hardware
...As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks. The model is fully optimized for edge deployment and can run locally on a single GPU, fitting in 16GB VRAM in BF16 or less than 8GB when quantized. It supports dozens of languages, making it practical for multilingual, global, or distributed environments. With a large 256k token context window, it can handle long documents, extended inputs, or multi-step processing workflows even at its small size. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Ministral 3 3B Reasoning 2512
Compact 3B-param multimodal model for efficient on-device reasoning
...This reasoning-tuned variant is optimized for tasks like math, coding, and other STEM-related problem solving, making it suitable for applications that require logical reasoning, analysis, or structured thinking. Despite its modest size, the model is designed for edge deployment and can run locally, fitting in ~16 GB of VRAM in BF16 or under 8 GB of RAM/VRAM when quantized. It supports dozens of languages, allowing it to function across global and multilingual contexts. The model retains strong system-prompt adherence, supports function-calling with structured JSON output, and offers a large 256k token context window for extended context reasoning.
