High-Performance Symbolic Regression in Python and Julia

A 15TB Collection of Physics Simulation Datasets

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

Distributed High-Performance Symbolic Regression in Julia

Lagrangian Neural Networks

A safe and ergonomic alternative to rm

Large-Scale Multimodal Dataset of Astronomical Data

Curated list of interactive ML demos

Anki decks for physics, astronomy, computer science, machine learning, and statistics.

The dispatch doctor prescribes type stability

Code for paper "Multiple Physics Pretraining for Physical Surrogate Models

Efficient and type-stable physical quantities in Julia

Multimodal contrastive pretraining for astronomical data

Repository for code used in the xVal paper

Ridiculously fast symbolic expressions

Easily benchmark a Julia package over its commit history

vims - use vim like sed

A borrow checker for Julia

🏃 Google StackOverflow in Vim. Copy-pastes the code directly in your script.

🖖 A package to determine whether planetary orbital configurations will live long and prosper

A paper describing the implementation of PySR and SymbolicRegression.jl

Turning SymPy expressions into JAX functions

Fast symbolic derivatives of runtime-generated expressions

You should use PySR to find scaling laws. Here's an example.

Bibtex for various Python science and machine learning software

Code for our paper on doing resource allocation with graph neural networks

Autosuggestions for function keywords

Macro for deprecating keyword parameters