MartinuzziFrancesco / awesome-scientific-machine-learningLinks
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
☆61Updated last year
Alternatives and similar repositories for awesome-scientific-machine-learning
Users that are interested in awesome-scientific-machine-learning are comparing it to the libraries listed below
Sorting:
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- A software package for flexible HPC GPs☆16Updated last month
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆58Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Bootcamp notebooks☆55Updated last year
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 2 weeks ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Class materials for computational physics course☆154Updated 2 weeks ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆77Updated 2 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated this week
- ☆116Updated 6 years ago
- ☆54Updated 2 years ago
- Material for workshop and autumn school on scientific machine learning 2023☆20Updated last year
- ☆32Updated last year
- ME 539 - Introduction to Scientific Machine Learning☆121Updated 2 weeks ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- Chemical Reaction Neural Network☆91Updated 11 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 2 weeks ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆45Updated 9 months ago
- Methods for numerical differentiation of noisy data in python☆120Updated this week
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆282Updated 10 months ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 7 months ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 3 months ago