Stars
Project template for STAT-4830
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
A book about category theory
An introduction to theorem proving in Lean for the impatient.
The Road to Reality essay and newsletter source. A journey through computational physics, from eval/apply to the Einstein field equations.
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
From the Transistor to the Web Browser, a rough outline for a 12 week course
A minimal GPU design in Verilog to learn how GPUs work from the ground up
llmstep: [L]LM proofstep suggestions in Lean 4.
plasTeX plugin to build formalization blueprints.
Causal inference, graphical models and structure learning in Julia
An open source model predictive control package for Julia.