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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.
WIP. Goals: Treesitter highlighting, snippets, and a smooth intergration with neovim.
Coherence/phase-locking statistics in Julia
Julia module for reading/writing NIfTI MRI files
SIAN (Structural Identifiability ANalyser) is a software for assessing structural identifiability of ODE models.
A library for scientific machine learning and physics-informed learning
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
Electrophysiology data simulator for developing brain-computer interfaces