Lists (5)
Stars
A resource for learning about Machine learning & Deep Learning
Automated Machine Learning with scikit-learn
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A library for scientific machine learning and physics-informed learning
High-Performance Symbolic Regression in Python and Julia
OpenCV Python Neural Network Autonomous RC Car
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Must-read Papers on Physics-Informed Neural Networks.
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Examples for https://github.com/optuna/optuna
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been genera…
A Python-based interface tool for Nastran's file formats
Welcome to the User Friendly Python Kriging Toolbox!
CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.
Deep learning for Engineers - Physics Informed Deep Learning
Machine Learning library for educational purpose.
The IDAES Process Systems Engineering Framework
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
Hands-On Genetic Algorithms with Python, Published by Packt
Physics-informed neural network for solving fluid dynamics problems
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
NASA's aircraft analysis, design, and optimization tool