-
MIT AeroAstro
- Cambridge, MA, United States
- https://peterdsharpe.github.io/
Highlights
- Pro
Block or Report
Block or report peterdsharpe
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLanguage
Sort by: Recently starred
Starred repositories
Quasi-steady electromagnetics including filamentized approximations, Biot-Savart, and Grad-Shafranov.
Solve for rigid body degrees of freedom with the theory of kinematic constraint (aka exact constraint).
A Drehmflight based Swashplateless Helicopter (in function of Bachelorproject at Karel de Grote Hogeschool)
Meshless large eddy simulation through the reformulated vortex particle method
The dispatch doctor prescribes type stability
🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
This repository contains implementations and illustrative code to accompany DeepMind publications
Hybrid ML + physics model of the Earth's atmosphere
Business card running / showing the internals of a CNN to classify 5x5 digits
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Three-dimensional panel method for low-speed aerodynamics
Medium fidelity aircraft-propulsion system design and optimization.
A Platform for Scalable Modeling and Optimization
A Python package for barycentric rational and polynomial interpolation and approximation.
N-dimensional interpolation methods in Rust, no-std compatible
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Scalable and user friendly neural 🧠 forecasting algorithms.