Himscipy / bnn_hvdLinks
Distributed Training of Bayesian Neural Networks at Scale
☆11Updated 5 years ago
Alternatives and similar repositories for bnn_hvd
Users that are interested in bnn_hvd are comparing it to the libraries listed below
Sorting:
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- ML-based turbulence modeling for astrophysics☆14Updated 2 years ago
- ☆10Updated 2 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 6 years ago
- ☆11Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated 2 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆65Updated 4 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Updated 5 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆40Updated 3 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- ☆35Updated 2 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- A Python library for training neural ODEs.☆26Updated 11 months ago
- LSiM is a learned metric to compute distance values for 2D data from numerical simulations☆28Updated 2 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- ☆38Updated 4 years ago
- ☆43Updated 8 years ago
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆14Updated 8 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23Updated 4 years ago
- Data and Code supporting the eBook by Castro and Vanderwel (2021)☆20Updated 3 years ago