IBM / AI-HilbertLinks
AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundamental laws of nature (or non-physical systems) based on knowledge (articulated in formal logic terms) and experimental data.
☆37Updated last month
Alternatives and similar repositories for AI-Hilbert
Users that are interested in AI-Hilbert are comparing it to the libraries listed below
Sorting:
- A paper describing the implementation of PySR and SymbolicRegression.jl☆61Updated last year
- Einstein Fields official implementation in JAX.☆61Updated 2 months ago
- Open source package for accelerated symbolic discovery of fundamental laws.☆115Updated last month
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆50Updated 2 weeks ago
- Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX☆43Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆93Updated 2 weeks ago
- ☆18Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- ☆30Updated 3 years ago
- ☆34Updated last year
- Automatic parametric modeling with symbolic regression☆59Updated 4 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Stencil computations in JAX☆71Updated 2 years ago
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆53Updated 2 years ago
- ☆21Updated 2 years ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- AI-driven discovery of new Gravitational Wave Detectors☆25Updated last year
- ☆31Updated last year
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Patched Attention for Nonlinear Dynamics☆159Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆99Updated 6 months ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆59Updated 3 years ago