rj678
Follow
Stars
Nine box model of ocean tracer transport and Green's function diagnostics.
Code for Abyssal Backtracking of Nanoplastics
A novel fully-convolutional architecture inspired from the Eulerian Fokker-Planck representation of Lagrangian dynamics at sea surface
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Python API to access the Copernicus Climate Data Store (CDS)
xcube is a Python package for generating and exploiting data cubes powered by xarray, dask, and zarr.
Open source framework for ocean trajectory modelling
Trajectory analysis package for simulated and observed trajectories
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
Main code for Parcels - a highly customisable Lagrangian simulation framework
Fast particle tracking in structured and unstructured grids
Scripts for the manuscript describing Parcels v0.9
Side-project lead by Siren and Laura to work on Lagrangian diagnostics
Patched Attention for Nonlinear Dynamics
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"
Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).
Official Code for "Rethinking Diffusion Model in High Dimension"
R Resources of "Introduction to Stochastic Processes with R"
Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning…
TorchCFM: a Conditional Flow Matching library