ertandemiral

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SU2

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Language:C++NOASSERTION130400

pymc

Bayesian Modeling and Probabilistic Programming in Python

Language:PythonNOASSERTION858700

DRLinFluids

An open-source Python platform of coupling deep reinforcement learning and OpenFOAM

Language:PythonNOASSERTION12800

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

Language:PythonMIT8400

pyfluent-parametric

Pythonic interface to Ansys Fluent parametric

Language:PythonMIT1800

SmartSim

SmartSim Infrastructure Library.

Language:PythonBSD-2-Clause22400

pycaret

An open-source, low-code machine learning library in Python

Language:Jupyter NotebookMIT876800

otfmi

FMI models manipulation module

Language:PythonLGPL-3.0800

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

Language:PythonMIT57900

PyFR

PyFR

Language:PythonNOASSERTION42800

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonNOASSERTION3440600

libparanumal

Accelerated finite element flow solvers

Language:C++MIT14300

rbfopt

RBFOpt library for black-box optimization

Language:PythonNOASSERTION18900

lhs

Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples

Language:C++GPL-3.04100

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

Language:PythonMIT103600

turkce-yapay-zeka-terimleri

Çalışmalarınızda kullanabileceğiniz Türkçe Yapay Zeka Terimleri.

dask

Parallel computing with task scheduling

Language:PythonBSD-3-Clause1234600

auto-sklearn

Automated Machine Learning with scikit-learn

Language:PythonBSD-3-Clause752200

GPflow

Gaussian processes in TensorFlow

Language:PythonApache-2.0182500

docker-images

Docker images files used for continuous integration

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openturns

Uncertainty treatment library

NOASSERTION100

openturns

Uncertainty treatment library

Language:C++NOASSERTION22900

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Apache-2.0100

GPy

Gaussian processes framework in python

BSD-3-Clause100

GPyOpt

Gaussian Process Optimization using GPy

BSD-3-Clause100

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

MIT100

OpenMDAO

OpenMDAO 2.0 repository.

NOASSERTION100

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

MIT100

Ax

Adaptive Experimentation Platform

MIT100

botorch

Bayesian optimization in PyTorch

MIT100