MaxRamgraber / Triangular-Transport-ToolboxLinks
A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
☆12Updated 3 weeks ago
Alternatives and similar repositories for Triangular-Transport-Toolbox
Users that are interested in Triangular-Transport-Toolbox are comparing it to the libraries listed below
Sorting:
- PyDA: A hands-on introduction to dynamical data assimilation with Python☆77Updated 5 years ago
- ☆117Updated last week
- Quasi-geostrophic spectral solver in PyTorch☆18Updated 3 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆39Updated last week
- Use Deep Learning in Data Assimilation☆61Updated last year
- ☆13Updated 6 years ago
- ☆60Updated 2 years ago
- Library for computing the Finite-time Lyapunov Exponents of 2D flows using xarray☆10Updated 3 years ago
- Finite element flow solver for simulating coastal and estuarine flows.☆80Updated 3 weeks ago
- Sandia Uncertainty Quantification Toolkit☆86Updated last year
- Python code for data assimilation methods☆54Updated 3 years ago
- This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter est…☆53Updated 9 months ago
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆22Updated 7 months ago
- ☆50Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆42Updated 2 years ago
- Differentiable neural-network solver for data assimilation of ice shelves written in JAX☆39Updated 8 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆39Updated 5 months ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆14Updated 3 years ago
- Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"☆13Updated 2 years ago
- explore the FV3 data for parameterization☆18Updated last year
- Bootcamp notebooks☆62Updated 6 months ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆53Updated 2 years ago
- An Extensible Software Framework for Large-Scale Inverse Problems☆160Updated last month
- Pytorch bindings for Fortran☆95Updated 2 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆68Updated this week
- Quantification of Uncertainties in Neural Networks☆11Updated 2 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆48Updated 6 months ago
- Uncertainty Quantification in the POD-NN framework☆24Updated 5 years ago
- PySensors is a Python package for sparse sensor placement☆110Updated last week
- A versatile Python-Fortran CFD code that solves a large class of 2D flows☆68Updated last year