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airs

Artificial Intelligence Research for Science (AIRS)

cape-ml4sci

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cg-solver-in-the-loop

Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

eqdiscovery-1

Physics-informed learning of governing equations from scarce data

feature-selection_ga-sa

Use Genetic Algorithm and Simulate Anneal for feature selection. 用遗传算法/模拟退火算法进行特征选择.

fluidsimulationtutorialsunity

ga_pso_bp

lorenz-96_using_deep_learning

neural_pde

pdearena

percnn

Encoding physics to learn reaction-diffusion processes

phiflow

A differentiable PDE solving framework for machine learning

physics-informed-neural-networks

Investigating PINNs

pinn

A Python library for building atomic neural networks

pinnfor3dmaxwell

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinnsformer

pirbn

Physics-informed radial basis network

pso-ann

Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)

pso-bp

pso-cnn

Unofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/Keras

pso-rbf-nn

使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.

pso-tf2

PSO On neural Network and LSTM

pso-train-bp-nn

use PSO to train the sigle layer NN structure

pso-train-bpnn-v2

use PSO to train the single layer NN structure

psocnn

Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.

relative_balancing

reservoircomputing.jl

Reservoir computing utilities for scientific machine learning (SciML)