SJ001 / AI-Feynman
☆681Updated 9 months ago
Alternatives and similar repositories for AI-Feynman:
Users that are interested in AI-Feynman are comparing it to the libraries listed below
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆749Updated last year
- A deep learning framework for symbolic optimization.☆633Updated 3 months ago
- High-Performance Symbolic Regression in Python and Julia☆2,769Updated this week
- A living benchmark framework for symbolic regression☆252Updated this week
- Lagrangian Neural Networks☆492Updated 10 months ago
- Distributed High-Performance Symbolic Regression in Julia☆686Updated last week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆740Updated 2 months ago
- ☆352Updated 3 years ago
- Python package for solving partial differential equations using finite differences.☆434Updated 2 weeks ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,571Updated last week
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆72Updated 2 years ago
- Gaussian processes in JAX and Flax.☆504Updated 2 weeks ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆685Updated this week
- Code for our paper "Hamiltonian Neural Networks"☆467Updated 4 years ago
- ☆30Updated 4 years ago
- A Bayesian optimization toolbox built on TensorFlow☆229Updated this week
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆88Updated 3 years ago
- A Python package for probabilistic state space modeling with JAX☆809Updated this week
- Python Dynamic Mode Decomposition☆980Updated 3 weeks ago
- A flexible framework for solving PDEs with modern spectral methods.☆565Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆444Updated 7 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆315Updated 3 weeks ago
- Probabilistic Numerics in Python.☆448Updated 11 months ago
- Deep Learning for Symbolic Mathematics☆535Updated 3 years ago
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- Hundreds of strange attractors☆444Updated last week
- Using graph network to solve PDEs☆384Updated last year
- ☆434Updated 4 months ago
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆562Updated 3 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago