The codes to replicate the simulation of the paper :"Wav-KAN: Wavelet Kolmogorov-Arnold Networks"

[ICLR 2022] "Symbolic Learning to Optimize: Towards Interpretability and Scalability" by Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang

The dataset and code for the AI-empowered discovery of terrain-precipitation relationship

Variant of the EQuation Learner (EQL) neural network architecture for performing symbolic regression on parametric equations with varying coefficients.

A living benchmark framework for symbolic regression

Symbolic genetic algorithm for discovering open-form partial differential equations

The code for 'Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion'

The data and code for the paper 'Worth of knowledge in deep learning'

Chebfun: numerical computing with functions.

一份关于机器人领域的重要期刊、会议的简单汇总和评级

PINN program for computational mechanics

Switching Gaussian process latent force model for discontinuous nonlinear system identification

MSc Structural Engineering - DRL Bayesian Inference maintenance optimization

Matplotlib styles for scientific plotting