Resources

Pasta (Platform Agnostic Simulation Tools for Astrophysics) is a task-based, Kokkos-portable(radiation-)magnetohydrodynamics code.

Probability Flow Inference (PFI) is a framework for inferring gene-regulatory dynamics from time-stamped cross-sectional omics data, where cells are measured destructively and cannot be tracked …

A Python library for model-based stimulus synthesis, generating informative images that reveal model sensitivities and blind spots.

Fast Polar matrix decomposition to accelerate optimization in machine learning.

A Python package for interacting and working with data from the Gaia Mission.

A lightweight Python library for neurophysiological data analysis.

A database of over 370,000 curl-free stellarators and the coil sets that generate them, optimized for volume quasi-symmetry.

Python solver for rapidly oscillating ODEs with frequency-independent runtime, using adaptive methods to meet accuracy targets efficiently.

A Python package for Bayesian analysis of black hole ringdowns in gravitational-wave data, using HMC, NumPyro, and JAX to probe merger remnants.

A JAX-based implementation of robust heteroskedastic matrix factorization.

Protein modeling and design software extended to support noncanonical amino acids, enabling prediction and design of mixed-chirality peptide macrocycles.

This Auxiliary-Field Quantum Monte Carlo package enables the study of quantum many-fermion systems and is designed for large-scale distributed calculations.

Header-only C++ library providing data structures, solvers, algorithms, and tools for parallel scientific computing applications.

Gene co-expression search engine that ranks genes and datasets from large expression compendia using multi-gene queries and cross-platform analysis.

Provides physically motivated predictions for the properties and demographics of galaxies and quasars forming across cosmic time.

A framework for optimizing stellarators.

Scalable simulation package for cellular components using parallel computing and fast hydrodynamic methods for filaments, motors, and rigid bodies.

C++ library for fast genomic data integration, mining, and ML across large datasets, with tools for microarrays and other biological data types.

Python/JAX extension for Gaussian Processes using state space models for faster O(n)–O(log n) performance with GPU and parallel acceleration.

Spectracles is a Python library for inferring properties of integral field unit spectra as continuous functions of sky position. Build on JAX, spectracles can be used to simultaneously …

Ground-truth validation of automated spike sorting algorithms.

A unified framework for spike sorting.

Open-source probabilistic programming platform for Bayesian modeling, offering MCMC, variational inference, optimization, and multi-language support.

Browser-based environment for editing, compiling, and running Stan models with built-in or custom Python/R analysis and no installation needed.

Computes fast, precise astronomical light curves for exoplanets, eclipsing binaries, and other transit and occultation phenomena.

Fast boundary integral kernels for Laplace and Stokes equations using optimized fast multipole methods and AVX2 SIMD acceleration.

Subzero Matrix Completion (sumac), a rectified linear factorization of a sparse matrix.

MATLAB package for numerically computing with functions on surfaces with high-order accuracy.

Variational Monte Carlo for quantum many-body systems.

Presents a self-consistent comparison of 22 different methods tested on the same extreme-precision spectroscopic data from the Extreme-precision Spectrograph (EXPRES).

An analysis of Sun-as-a-star observations from four different high-resolution, stabilized spectrographs: HARPS, HARPS-N, EXPRES, and NEID.

A custom Monte Carlo sampler for the two-body problem.

15 TB of numerical simulations of spatiotemporal physical systems, produced with Polymathic AI.

The Toolbox for Research in Interacting Quantum Systems (TRIQS) project provides a Python/C++ library of basic components to implement the algorithms in the Quantum Many-Body problem.

Identifies tissue and disease signatures from gene expression data using large-scale profiles, enabling molecular analysis of submitted samples.

Python package for time-series spectroscopy that derives radial velocities in a data-driven way without prior stellar or telluric models.