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Showing 5 open source projects for "research"
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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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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Sphaerica
Interactive spherical geometry software.
Sphaerica is an interactive spherical geometry computer software. You can create complex geometric constructions in spherical geometry with this software. It supports orthogonal, stereographic and gnomonic projections to display your construction. It also has a built in scripting language for automated constructions. -
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Mark Six Analyst is a database of Hong Kong Lottery or so-called Mark Six. It provides a tool of various statistics method to show relationships between data and forecasts.
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DragMath is a drag and drop equation editor in the form of a Java applet. Once an expression is created the user can convert it into a variety of different linear syntax for mathematics, including MathML, LaTeX, Maple, Maxima or any user defined style. PLEASE NOTE: active code development has moved to GitHub. https://github.com/maths/dragmath
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The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab
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One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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