A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
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Updated
Oct 16, 2025 - Python
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
surrogate quantitative interpretability for deepnets
UQPyL is a python package for uncertainty quantification and parameter optimization. 参数不确定性分析及优化工具包。
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
Surrogate model library for Derivative-Free Optimization
Design optimization of floating offshore wind turbine with surrogate models
Tutorials for the C++ pressio library
Reinforcement Learning Actors for Blade Pitch Control in Wind Turbine Systems
A tool to encapsulate machine learning models defined using the ONNX format to Functional Mock-up Units (FMU) defined by the FMI standard.
Heron is a surrogate modelling toolkit for python, using Gaussian process regression.
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Blackbox provides a standarized and efficient interface for evaluating variety of blackbox functions for various surrogate-based design activities
Mitigating the high computational costs associated with applying Bayesian model updating in inverse problems / Uncertainty Quantification and Efficient Sensitivity Analysis by using Surrogate Models
Design of a surrogate-assisted (mu/mu,lambda)-ES
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
squid repository for manuscript analysis
Tools for constructing a surrogate model for a stochastic numerical model using Probabilistic Learning on Manifolds in a small data context
This repository contains the packages that build the problem objects for the desdeo framework.
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