Rahul Manavalan's Projects
Computing with B-series in Julia
A library of cloud microphysics parameterizations
Density-functional toolkit
An hierarchical adaptive sparse-grid implementation in the julia language
A beautiful, simple, clean, and responsive Jekyll theme for academics
Fast solvers in Julia
Full Waveform Inversion using Neural Operators
A Julia implementation of Gaussian Process Hydrodynamics
TCL library - TN (bench code)
Incompressible Navier-Stokes solver
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.
Machine Learning Potentials for Molecular dynamics simulations
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
Modular random feature approximation in Julia
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Surrogate modeling and optimization for scientific machine learning (SciML)
First Order derivatives of noisy data.
Inference models for Interatomic Potentials from MD-Trajectories.
A julia package for robust waveform inversion.
A julia package for parallel in time integration of differential equations.
WAVI ice sheet model
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