Showing 9 open source projects for "intelligence"

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    DeepChem

    DeepChem

    Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc

    DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each...
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  • 2

    Spectral Python

    A python module for hyperspectral image processing

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
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  • 3
    Fuzzy Ecospace Modelling

    Fuzzy Ecospace Modelling

    FEM allows users to create fuzzy functional groups for use in ecology.

    Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from...
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  • 4
    SimpleWFS is a 100% Java servlet implementation of the draft OGC standard Web Feature Service (WFS) Simple. This is a Web service interface whose goal is to specify a common, minimal feature set for geospatial-temporal data access.
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  • 5
    A Silverlight framework that makes it easy to develop games and applications simulating creatures that interacts with eachother.
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  • 6
    CHAC is a MATLAB toolbox for statistical downscaling.
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  • 7
    The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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  • 8
    MMI - Tethys is a framework to facilitate interoperability among environmental systems. It facilitates creation of metadata, data and Web Services following standards. It is currently based on JAVA, AXIS and ANT.
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  • 9
    The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.
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