Data_Assimilation:理学硕士研究项目（6 个月）。 使用深度学习 (AE) 的数据同化。 帝国理工学院机器学习理学硕士 2018-19 （417个子文件） 
nobsdf.csv 3KB modesdf.csv 2KB DA_tables - perf_time.csv 350B .gitattributes 32B .gitignore 1KB .gitignore 231B CBAM.graphml 63KB ResNeXtLayers.graphml 56KB RDB_GRDB.graphml 43KB RAB.graphml 31KB vanillaNeXt.graphml 29KB Tucodec.graphml 28KB backbone.graphml 24KB RDB.graphml 24KB ResNeXt.graphml 22KB GRDB.graphml 21KB GRDN.graphml 18KB NeXt.graphml 17KB f^o.graphml 15KB resVanilla.graphml 14KB plot_TSVD.ipynb 582KB plot_DAMSE-checkpoint.ipynb 579KB plot_w_time.ipynb 517KB plot_w_time-checkpoint.ipynb 517KB plot_TSVD-checkpoint.ipynb 489KB CAE_zoo_analysis-checkpoint.ipynb 416KB augmentation.ipynb 324KB CAE_zoo_analysis.ipynb 311KB improvement_vs_reconstruction_err-checkpoint.ipynb 251KB improvement_vs_reconstruction_err.ipynb 251KB augmentation-checkpoint.ipynb 206KB Fine_tuning-checkpoint.ipynb 195KB Fine_tuning.ipynb 193KB AE_results-checkpoint.ipynb 130KB AE_results.ipynb 130KB time_perf_tradeoff-checkpoint.ipynb 129KB time_perf_tradeoff.ipynb 128KB CAE_zoo_analysis_BN-prelim-checkpoint.ipynb 109KB CAE_zoo_analysis_BN-prelim.ipynb 109KB run_DA_best_CAE.ipynb 109KB activation_fns.ipynb 109KB run_DA_best_CAE-checkpoint.ipynb 98KB activation_fns-checkpoint.ipynb 93KB table_data_extract.ipynb 39KB try_.ipynb 39KB table_data_extract-checkpoint.ipynb 37KB ResNeXt_struct.ipynb 22KB ResNeXt_struct-checkpoint.ipynb 16KB SVD_reconstruction_err-checkpoint.ipynb 15KB SVD_reconstruction_err.ipynb 15KB Untitled-checkpoint.ipynb 4KB
Lu2019.jpg 600KB AE_diagram.jpg 82KB LICENCE 1KB LICENSE 1KB README.md 4KB README.md 2KB README.md 1KB README.md 175B
PasmansIvo2019.pdf 56.78MB ImageDeblurring_2006.pdf 15.94MB deeplearningbook.pdf 15.66MB 11174-nemovar-ocean-data-assimilation-system-implemented-ecmwf-ocean-analysis-system-4.pdf 15.54MB BOOK_Atmospheric_modeling_data_assimilation_and_predictability.pdf 10.65MB 1703.00395.pdf 10.32MB Fast_ocean_data_assimilation_using_a_neural_network_reduced_space_regional_ocean_model_of_the_North_Brazil_Current__v2[38481].pdf 10.14MB fpga2015_chen.pdf 9.88MB 1703.10553.pdf 8.46MB 1610.02391.pdf 8.26MB 1904.03851v1.pdf 7.99MB 1-s2.0-S0168192319300279-main.pdf 7.7MB Zhang_et_al-2019-Quarterly_Journal_of_the_Royal_Meteorological_Society.pdf 7.36MB acp-13-11643-2013.pdf 6.99MB 08456308.pdf 6.98MB Non-linear model reduction for the Navier-Stokes equationsusing residual DEIM method.pdf 6.53MB 1801.04260.pdf 6.26MB paper J6 - Natural ventilation in cities the implications of fluid mechanics (1)[30497].pdf 6.12MB 2006JD007763.pdf 5.98MB 1811.12817v2.pdf 5.68MB Data assimilation in atmospheric chemistry models - current status.pdf 5.6MB 1903.10082.pdf 5.58MB Comparing parameter choice methods for regularization.pdf 5.56MB 1-s2.0-S003132031630125X-main.pdf 5.35MB Variational Autoencoder for Turbulence Generation.pdf 5.11MB Montmerle_et_al-2018-Quarterly_Journal_of_the_Royal_Meteorological_Society.pdf 4.68MB 1905.11172.pdf 4.65MB A parameterized non-intrusive reduced order model and erroranalysis for general time-dependent nonlinear partial differentialequations and its applications.pdf 4.52MB Deep Learning-Based Model Reduction.pdf 4.47MB gs.2014.3875a72c9d.v1.pdf 4.34MB 08110690.pdf 4.3MB 1812.10477v1.pdf 4.3MB 1608.08710.pdf 4.22MB 1412.6806.pdf 4.03MB 1906.00507.pdf 4.03MB 1312.6114.pdf 3.74MB Conditioning and Preconditioning of the_Haben.pdf 3.57MB 1902.07385.pdf 3.5MB ImageNet_a_Large-Scale_Hierarchical_Image_Database.pdf 3.42MB Guillet_et_al-2019-Quarterly_Journal_of_the_Royal_Meteorological_Society.pdf 3.38MB Lang_et_al-2019-Space_Weather.pdf 3.35MB共 417 条
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