Resources

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.

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.

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.

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.