Search Results for "evolution"
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5 projects for "evolution" with 2 filters applied:
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Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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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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Nemo
Individual-based forward-time genetics simulation software
Nemo is an individual-based, forward-time, genetically explicit, and stochastic simulation software designed for the study of the evolution of life history and quantitative traits, and genetic markers under various types of selection, in a spatially explicit, metapopulation framework. -
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Coronis SDK
Set of module for data processing of wireless device
The goal is to create a leading “Set of software libraries for data processing of wireless device based on Coronis platform“. These libraries will run on all major platforms (embedded and desktop) and provide services for data processing through generic APIs. Keywords: Coronis, Wavenis, API, Plugin, Wireless, Waveport, Wavecard, Profile, Java, C, C++, C# -
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db4o is the world's leading open source object database for Java and .NET. Leverage fast native object persistence, ACID transactions, query-by-example, S.O.D.A object query API, automatic class schema evolution, small size (http://developer.db4o.com)
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biojazz
In silico evolution of biochemical networks.
In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model. -
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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GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
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