Showing 3 open source projects for "number sequence"

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build 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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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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  • 1
    ReViMS

    ReViMS

    ReViMS, a 3D volume rendering tool for light-sheet/confocal microscopy

    Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope. It provides a number of tools for: (a) segmenting z-stacks of fluorescence images; (b) reconstructing the 3D surface of the aggregates and estimating several features (including the volume). ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). ...
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  • 2
    Augmentor.jl

    Augmentor.jl

    A fast image augmentation library in Julia for machine learning

    ...In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates.
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  • 3

    LogisticBell

    Here we test the Logistic Map using finite and infinite precision...

    Here we test the Logistic Map using finite and infinite precision floats (Apfloats). More decimals produce longer sequence (longer chaotic signal for certain parameters). Shorter decimal precision makes the sequence converge to zero eventually. In the process, number of decimals rises and then drops for some reason, forming a bell-shaped curve with long tail. On second consideration, this does not look like a bell-shaped curve at all. Logistic map calculated with parameters x initial = 0.9 and r = 4.
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