GrainLearning - v2.0.4

What's Changed

• Integrate Geomechanics and dike examples into main by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/80
• add stopping criteria and error measures by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/82
• Update Linter.yml by @Retiefasaurus in https://github.com/GrainLearning/grainLearning/pull/85

Full Changelog: https://github.com/GrainLearning/grainLearning/compare/v2.0.3...v2.0.4

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by chyalexcheng about 1 year ago

GrainLearning - GrainLearning v2.0.3

What's Changed

• Visuals by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/60
• Fix test errors while importing seaborn by @Retiefasuarus in https://github.com/GrainLearning/grainLearning/pull/61
• Retiefasuarus/issue55 by @Retiefasuarus in https://github.com/GrainLearning/grainLearning/pull/62
• Fix selftest errors by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/63
• 57 improving callback functions by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/66
• test workflow without python 3.8 by @chyalexcheng in https://github.com/GrainLearning/grainLearning/pull/67
• Correct broken links to tutorials in rnn/README by @luisaforozco in https://github.com/GrainLearning/grainLearning/pull/70
• Add note to windows installation via poetry by @luisaforozco in https://github.com/GrainLearning/grainLearning/pull/74
• Update readthedocs script by @luisaforozco in https://github.com/GrainLearning/grainLearning/pull/76
• Bump version and amend DOI by @luisaforozco in https://github.com/GrainLearning/grainLearning/pull/77
• Fix release workflow by @luisaforozco in https://github.com/GrainLearning/grainLearning/pull/78

Full Changelog: https://github.com/GrainLearning/grainLearning/compare/v2.0.2...v2.0.3

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by luisaforozco almost 2 years ago

GrainLearning - GrainLearning v2.0.2

Features - Infer and update model parameters using "time" series (sequence) data via Sequential Monte Carlo filtering - Uniform, quasi-random sampling using low-discrepancy sequences - Iterative sampling by training a nonparametric Gaussian mixture model - Surrogate modeling capability for "time" series data

Tutorials - Linear regression with the run_sim callback function of the DynamicSystem class, in pythonlinearregression_solve.py - Interact with the numerical model of your choice via run_sim , in linearregressionsolve.py - Load existing DEM simulation data and run GrainLearning for one iteration, in oedoloadand_resample.py - Example of GrainLearning integration with YADE in the directory /tutorials/physics_based/ - LSTM module tutorials: - Train your LSTM model - Predict using an LSTM model - Use an LSTM model in the calibration workflow

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by chyalexcheng over 2 years ago

GrainLearning - GrainLearning v0.2

GrainLearning version 0.2 contains the legacy code in Fortran and implementation in python. The repository also contains data published in the paper, Cheng et al. (2019) An iterative Bayesian filtering framework for fast and automated calibration of DEM models. Comput. Methods Appl. Mech. Eng., 350 (2019), pp. 268-294

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by chyalexcheng over 3 years ago

GrainLearning - GL rewrite v1.0.1

Rewrite GrainLearing package

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by chyalexcheng over 3 years ago