pgbreen / NVMLinks
Deep neural network from Newton vs the Machine
☆16Updated 5 years ago
Alternatives and similar repositories for NVM
Users that are interested in NVM are comparing it to the libraries listed below
Sorting:
- numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation☆9Updated 3 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 6 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- ☆72Updated 4 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆31Updated 6 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- An easy way to use multi-GPUs to calculate multi-dimensional integration☆20Updated 2 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- ☆30Updated 2 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 2 months ago
- ☆21Updated 8 months ago
- Lorenz attractors, statistical mechanics, nonlinear dynamical systems, computational physics.☆27Updated 7 years ago
- A library of Krylov methods in pure Python☆63Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 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
- Basic deep learning models in PyTorch.☆10Updated 5 years ago
- Canonical normalizing flows☆10Updated 6 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- ☆9Updated 7 years ago
- A collection of codes and references for deep learning in fluid dynamics☆18Updated 4 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 3 years ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16Updated 3 years ago
- Clustering with variational Bayes and population Monte Carlo☆49Updated 9 months ago
- Notebooks for probabilistic programming☆21Updated 5 years ago
- ☆23Updated 6 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year