Showing 132 open source projects for "node-red"

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  • 1
    A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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  • 2
    The 'BandSystem' spectral analysis system is a rule-based system for the classification of mineral spectra. It consists of a preprocessor, a feature extractor, and a rule-based system to identify minerals from infra-red reflectance spectra.
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  • 3
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    ...Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ...
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  • 4
    El simulador de MPLS son un conjunto de clases que permiten ver el funcionamiento interno de una red que usa este protocolo. La fortaleza del proyecto está en la búsqueda dinámica de rutas por medio de una emulación de LDP para el paso de etiquetas.
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  • 5
    Mistral Large 3 675B Instruct 2512 NVFP4

    Mistral Large 3 675B Instruct 2512 NVFP4

    Quantized 675B multimodal instruct model optimized for NVFP4

    ...Designed for efficient deployment, it runs on a single H100 or A100 node in NVFP4 while delivering performance similar to FP8 for short- and mid-context workloads.
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  • 6
    Mistral Large 3 675B Instruct 2512

    Mistral Large 3 675B Instruct 2512

    Frontier-scale 675B multimodal instruct MoE model for enterprise AIMis

    ...The model supports dozens of languages and maintains strong system-prompt adherence, making it suitable for global and structured enterprise use. Designed for high performance, it runs on a single node of B200 or H200 GPUs in FP8, and can also operate in NVFP4 mode on H100 or A100 hardware. With a 256k context window, it excels at long-document comprehension, deep retrieval workflows, and complex knowledge-intensive tasks.
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  • 7

    Supertagger

    Software for assigning supertags.

    Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
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