Software

A 15TB Collection of Physics Simulation Datasets

High-Performance Symbolic Regression in Python and Julia

symbolic-regression machine-learning python julia genetic-algorithm

Distributed High-Performance Symbolic Regression in Julia

symbolic-regression julia symbolic-computation machine-learning automl

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

A safe and ergonomic alternative to rm

Large-Scale Multimodal Dataset of Astronomical Data

Curated list of interactive ML demos

awesome interactive javascript machine-learning visualization

Deep Learning Interpretability with Symbolic Regression

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

Code for paper "Multiple Physics Pretraining for Physical Surrogate Models

The dispatch doctor prescribes type stability

code-quality developer-tools development julia monitoring

Multimodal contrastive pretraining for astronomical data

Repository for code used in the xVal paper

Easily benchmark a Julia package over its commit history

Polymathic's Large Omnimodal Model for Astronomy

A borrow checker for Julia

borrow-checker code-quality concurrency development development-tools

Ridiculously fast symbolic expressions

binary-trees expression-evaluator symbolic-computation symbolic-manipulation symbolic-regression

vims - use vim like sed

vim sed unix-command unix-pipes stdin

gso

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

stackoverflow vim developer-tools google python

🖖 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

Rust + WebAssembly port of SymbolicRegression.jl

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

A Generative Multimodal Model for Biomolecules

Bibtex for various Python science and machine learning software

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

pytorch deep-learning neural-network graph-neural-networks machine-learning

Autosuggestions for function keywords

Macro for deprecating keyword parameters

A dataset and benchmark for emulating exoplanet climates