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Spinning globe animation of ERA5 Land data
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The function splitarg copied from MacroTools master returns an error in julia v0.7. I need only the :name part so a small utility function get_arg_name replaces splitarg. An issue is opened inMacroTools`.
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We present here a Community Inversion Framework (CIF) to help rationalize development efforts and leverage the strengths of individual inversion systems into a comprehensive framework. The CIF is primarily a programming protocol to allow various inversion bricks to be exchanged among researchers. In practice, the ensemble of bricks makes a flexible, transparent and open-source python-based tool to estimate the fluxes of various GHGs both at global and regional scales. It will allow running different atmospheric transport models, different observation streams and different data assimilation approaches. This adaptability will allow a comprehensively assessment of uncertainty in a fully consistent framework. The present object contains all codes and documentation pages included in the Community Inversion Framework: pycif: the Python interface to the CIF model_sources: Fortran sources of main models in the CIF tests: pytest configuration bin: example of bash scripts to run the CIF docs: ReStructured Text documentation sources and HTML compiled pages (also published here)
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This repository contain the code for the implementation of the experimental setup in the paper entitled Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted Optimization.
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CustomWeightedTensorProduct is now TensorProduct and its method .right() replaces Kernel. Rs lists are replaced by the more powerful Irreps object. Rotations functions from o3 have been completed by quaternion and axis-angle support. Spherical harmonics are implemented as tensor products Y^{l+1} = Y^l \otimes (x,y,z) and are faster. Code examples are documented here
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Snapshot of the repository at the moment of producing the results for the paper submitted to the conference WDSA/CCWI of 2024.
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A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
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This work was supported by NWO VIDI grant 680-47-53, NWO VIDI grant 016.Vidi.189.180, the Swedish Research Council (VR) and the Knut and Alice Wallenberg Foundation. Simulation code for 2D amorphous statistical topological insulators relying on spatial symmetries.
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Spinning globe animation of ERA5 Land data
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The function splitarg copied from MacroTools master returns an error in julia v0.7. I need only the :name part so a small utility function get_arg_name replaces splitarg. An issue is opened inMacroTools`.
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We present here a Community Inversion Framework (CIF) to help rationalize development efforts and leverage the strengths of individual inversion systems into a comprehensive framework. The CIF is primarily a programming protocol to allow various inversion bricks to be exchanged among researchers. In practice, the ensemble of bricks makes a flexible, transparent and open-source python-based tool to estimate the fluxes of various GHGs both at global and regional scales. It will allow running different atmospheric transport models, different observation streams and different data assimilation approaches. This adaptability will allow a comprehensively assessment of uncertainty in a fully consistent framework. The present object contains all codes and documentation pages included in the Community Inversion Framework: pycif: the Python interface to the CIF model_sources: Fortran sources of main models in the CIF tests: pytest configuration bin: example of bash scripts to run the CIF docs: ReStructured Text documentation sources and HTML compiled pages (also published here)
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This repository contain the code for the implementation of the experimental setup in the paper entitled Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted Optimization.
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CustomWeightedTensorProduct is now TensorProduct and its method .right() replaces Kernel. Rs lists are replaced by the more powerful Irreps object. Rotations functions from o3 have been completed by quaternion and axis-angle support. Spherical harmonics are implemented as tensor products Y^{l+1} = Y^l \otimes (x,y,z) and are faster. Code examples are documented here
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Snapshot of the repository at the moment of producing the results for the paper submitted to the conference WDSA/CCWI of 2024.
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A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.