
DeepXDE
 Referenced in 38 articles
[sw32456]
 learning library for solving differential equations. Deep learning has achieved remarkable success in diverse applications ... more rapid development of the emerging Scientific Machine Learning field...

NeuralPDE.jl
 Referenced in 33 articles
[sw39548]
 solvers for partial differential equations using scientific machine learning (SciML) techniques such as physicsinformed...

SMAC
 Referenced in 79 articles
[sw27215]
 effective for the hyperparameter optimization of machine learning algorithms, scaling better to high dimensions ... designers focus on tasks that are more scientifically valuable than parameter tuning...

ModelingToolkit.jl
 Referenced in 2 articles
[sw41449]
 numeric computation in scientific computing and scientific machine learning. It then mixes ideas from symbolic...

MLxtend
 Referenced in 3 articles
[sw29046]
 extensions to Python’s scientific computing stack. Mlxtend (machine learning extensions) is a Python library...

ODE.jl
 Referenced in 1 article
[sw34620]
 basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Various basic Ordinary Differential Equation...

ParaDRAM
 Referenced in 2 articles
[sw35226]
 integration of mathematical objective functions encountered in scientific inference. ParaDRAM is currently accessible from several ... efficiently solve a variety of machine learning and scientific inference problems on a wide range...

DeepHyper
 Referenced in 4 articles
[sw41119]
 design and development of machine learning (ML) models for scientific and engineering applications. DeepHyper reduces...

Orbital library
 Referenced in 13 articles
[sw05562]
 search and planning, as well as machine learning algorithms. Generally speaking, the conceptual idea behind ... components that surround the heart of many scientific applications, hence the name ”Orbital library...

ParaMonte
 Referenced in 1 article
[sw35224]
 Bayesian models in data science, Machine Learning, and scientific inference, with the design goal...

DiffEqFlux
 Referenced in 7 articles
[sw27559]
 discuss the complementary nature between machine learning models and differential equations. We demonstrate the ability ... scientific computing field to be readily applied to the challenges posed by machine learning...

JMLR MLOSS
 Referenced in 1 article
[sw14408]
 trivial machine learning algorithms, toolboxes or even languages for scientific computing...

mlpy
 Referenced in 2 articles
[sw12848]
 module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy ... wide range of stateoftheart machine learning methods for supervised and unsupervised problems...

TensorDiffEq
 Referenced in 1 article
[sw39549]
 introducing domainaware deep machine learning models into scientific computation. Several software suites have emerged...

mcfly
 Referenced in 2 articles
[sw37867]
 scientific community, but for researchers with no or limited machine learning experience...

GemPy
 Referenced in 5 articles
[sw31288]
 geological models and additional assets for advanced scientific investigations. These assets provide the full power ... they enable the link to machinelearning and Bayesian inference frameworks and thus a path ... summary, we provide a basis for open scientific research using geological models, with...

BLISlab
 Referenced in 1 article
[sw16637]
 great importance to scientific computing and, increasingly, machine learning. It is a simple enough concept...

GPUMLib
 Referenced in 3 articles
[sw13694]
 Machine Learning Library (GPUMLib) that aims to provide the building blocks for the scientific community...

libcmaes
 Referenced in 2 articles
[sw28976]
 industrial and scientific applications, to the solving of reinforcement and machine learning problems...