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Showing 4 open source projects for "trees"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Roslyn
The .NET Compiler Platform
Roslyn provides rich, code analysis APIs to open source C# and Visual Basic compilers. This enables you to access a wealth of information about your code from compilers, which you can then use for code-related tasks in your tools and applications. Roslyn dramatically lowers the barrier to entry for creating code-focused tools and applications, creating many opportunities for innovation. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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.Net Checker checks all code dependencies in .Net projects to ensure a stable architecture - up to multi-million LOC source trees. Moreover, it can produce flexible DOT-based dependency graphs.
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vbWeka is a class library of a collection of machine learning algorithms in VB.NET. It is designed in the same style of the popular Java machine learning package - weka. In this release, B40, ID3 decision trees, IB1, Perceptron, Backpropagation, NaiveBay
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Zendesk: The Complete Customer Service SolutionEquip your agents with powerful AI tools and workflows that boost efficiency and elevate customer experiences across every channel.
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