Showing 7 open source projects for "cem"

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    PySptools

    PySptools

    Hyperspectral algorithms for Python

    ...The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ...
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  • 3
    Deep Reinforcement Learning for Keras

    Deep Reinforcement Learning for Keras

    Deep Reinforcement Learning for Keras.

    keras-rl implements some state-of-the-art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym out of the box. This means that evaluating and playing around with different algorithms is easy. Of course, you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and...
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  • 4
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  • 5

    Coastline Evolution Model 2D

    Numerical model simulating coastal morphodyamics and evolution

    CEM2D is a reduced complexity coastal evolution model, capable of simulating fundamental cause-effect relationships in coastal systems and exploring the influence that sea level rise could have on sediment transport and the formation and evolution of morphological features and landforms over meso-scales. The model has been built from a 1D parents model - CEM - that was originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006).
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  • 6

    Coastline Evolution Model

    Modified version of the Coastline Evolution Model (CEM)

    The Coastline Evolution Model (CEM), originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006), is a reduced complexity, one-line sediment transport model that simulates the evolution of coastlines via wave-driven alongshore sediment transport. The original CEM has no Graphical User Interface (GUI) and does not provide graphical visualisations during model runs.
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  • 7
    CEM (Catalog Extended Managment) is a application to import Catalog informations based on BMECat oder XCBL format from systems like SAP CRM/R3. CEM is plugin based and offers serveral export plugins including an generator for html based offline catalogs.
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