dcshapiro / AI-FeynmanLinks
☆30Updated 4 years ago
Alternatives and similar repositories for AI-Feynman
Users that are interested in AI-Feynman are comparing it to the libraries listed below
Sorting:
- ☆72Updated 4 years ago
- ☆47Updated last year
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- ☆181Updated 2 months ago
- ☆116Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- ☆21Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆74Updated 2 years ago
- ☆35Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Bootcamp notebooks☆55Updated last year
- Code and files related to random side projects☆21Updated 3 years ago
- ☆18Updated 4 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆43Updated 4 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- ☆34Updated last year
- Spectral Neural Operator☆79Updated last year
- Equation Learner, a neural network approach to symbolic regression☆79Updated 9 months ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated 2 years ago
- ☆22Updated last month
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- ☆19Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year