SciMLTutorials.jl：使用开源软件进行科学机器学习（SciML）和高性能微分方程求解的教程
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2021-02-03
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SciMLTutorials.jl：使用开源软件进行科学机器学习（SciML）和高性能微分方程求解的教程 （348个子文件） 
CITATION.bib 617B CNAME 19B skeleton_css.css 11KB .gitignore 142B
02-workshop_solutions.html 39.03MB 02-AD_and_optimization.html 29.23MB 04b-diffeqbio_III_steadystates.html 19.71MB 03-diffeqbio_I_introduction.html 12.96MB 02-choosing_algs.html 10.15MB 01-classical_physics.html 8.09MB 05-formatting_plots.html 6.79MB 04-callbacks_and_events.html 5.67MB 01-expectation_introduction.html 5.45MB 08-spiking_neural_systems.html 3.26MB 02-advanced_ODE_solving.html 3.19MB 01-ode_introduction.html 1.84MB 01-pendulum_bayesian_inference.html 1.67MB 06-pendulum_bayesian_inference.html 1.35MB 05-kepler_problem.html 1.25MB 07-outer_solar_system.html 1.18MB 03-GPU_Bayesian_Koopman.html 653KB 01-beeler_reuter.html 604KB 03-ode_minmax.html 569KB 02-monte_carlo_parameter_estim.html 490KB 01-ModelingToolkit.html 444KB 04-diffeqbio_II_networkproperties.html 425KB 02-uncertainties.html 407KB 04-monte_carlo_parameter_estim.html 247KB 02-conditional_dosing.html 210KB 03-optimizing_diffeq_code.html 176KB 03-kolmogorov_equations.html 137KB 02-feagin.html 111KB 01-workshop_exercises.html 73KB 03-unitful.html 61KB 01-number_types.html 41KB test.html 19KB 01-beeler_reuter.ipynb 35KB 01-workshop_exercises.ipynb 34KB 03-optimizing_diffeq_code.ipynb 30KB 08-spiking_neural_systems.ipynb 27KB 04-diffeqbio_II_networkproperties.ipynb 26KB 02-workshop_solutions.ipynb 25KB 02-advanced_ODE_solving.ipynb 25KB 01-ode_introduction.ipynb 25KB 04-callbacks_and_events.ipynb 23KB 01-expectation_introduction.ipynb 21KB 01-classical_physics.ipynb 17KB 02-AD_and_optimization.ipynb 16KB 01-ModelingToolkit.ipynb 15KB 03-diffeqbio_I_introduction.ipynb 13KB 04b-diffeqbio_III_steadystates.ipynb 11KB 05-kepler_problem.ipynb 9KB 02-uncertainties.ipynb 8KB 02-monte_carlo_parameter_estim.ipynb 8KB 04-monte_carlo_parameter_estim.ipynb 8KB 02-choosing_algs.ipynb 7KB 01-number_types.ipynb 7KB 06-pendulum_bayesian_inference.ipynb 7KB 01-pendulum_bayesian_inference.ipynb 7KB 03-kolmogorov_equations.ipynb 7KB 05-formatting_plots.ipynb 7KB 03-ode_minmax.ipynb 7KB 03-unitful.ipynb 5KB 07-outer_solar_system.ipynb 5KB 02-conditional_dosing.ipynb 4KB 02-feagin.ipynb 4KB test.ipynb 759B 01-beeler_reuter.jl 13KB 02-workshop_solutions.jl 13KB 01-classical_physics.jl 7KB 03-optimizing_diffeq_code.jl 7KB 02-AD_and_optimization.jl 6KB 02-advanced_ODE_solving.jl 6KB 08-spiking_neural_systems.jl 5KB 01-expectation_introduction.jl 5KB SciMLTutorials.jl 4KB 04-diffeqbio_II_networkproperties.jl 4KB 05-kepler_problem.jl 3KB 04-callbacks_and_events.jl 3KB 03-diffeqbio_I_introduction.jl 3KB 01-ModelingToolkit.jl 3KB 04b-diffeqbio_III_steadystates.jl 2KB 02-uncertainties.jl 2KB 01-ode_introduction.jl 2KB 01-workshop_exercises.jl 2KB 03-ode_minmax.jl 2KB 03-kolmogorov_equations.jl 2KB 04-monte_carlo_parameter_estim.jl 2KB 02-monte_carlo_parameter_estim.jl 2KB 01-number_types.jl 1KB 07-outer_solar_system.jl 1KB 06-pendulum_bayesian_inference.jl 1KB 01-pendulum_bayesian_inference.jl 1KB 05-formatting_plots.jl 927B 02-choosing_algs.jl 813B 02-conditional_dosing.jl 792B 02-feagin.jl 670B 03-unitful.jl 479B test.jl 95B runtests.jl 65B共 348 条
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