scikit-bio relies on Cython extensions for performance-critical distance and ordination operations, but these cannot accept GPU arrays. This project...

Lumen handles tabular data through DuckDB but cannot work with N-dimensional scientific formats like NetCDF, Zarr, and HDF5. This project brings...

Gammapy currently serializes its data products across multiple data formats, which creates a fragmented workflow with poor metadata handling. This...

This project aims to improve the handling of transposed diffuse irradiance and optical loss modeling in the pvlib-python package. Currently, pvlib’s...

This project aims to scale QuTiP's HEOM solver beyond single-node limitations by integrating PETSc to distribute ODE integration across multiple MPI...

Standard Bayesian posteriors degrade under model misspecification by collapsing to point estimates. This project implements Predictively Oriented...

OrdinaryDiffEq.jl contains over 18 IMEX Runge–Kutta implementations that share identical stepping logic but have bespoke per-method perform_step!...

THE PROBLEM: Solving partial differential equations (PDEs) for parametrical studies is a fundamental part of scientific research, but traditional...

This project will add distributed linear solver support to LinearSolve.jl by expanding and hardening PETSc.jl integration. The goal is to let SciML...

AiiDA workflows currently require manual Python scripting. This project builds a multi-agent AI system that lets scientists interact with AiiDA...

This project redesigns sbi's potential function API to eliminate stateful behavior, inconsistent IID handling, and device management bugs. The new...

r.proj and r.param.scale are widely used GRASS raster modules that run entirely on a single core, leaving modern multi-core hardware idle. This...

MathOptAI.jl is a Julia package for embedding machine learning models into optimization problems built using JuMP. These embeddings work as...

The current gate-level circuit simulator in qutip-qip utilizes a full sparse Qobj representation of each gate, expanding local gates to the Hilbert...

This project focuses on improving the development and testing infrastructure across the ArviZ ecosystem (arviz-base, arviz-stats, and arviz-plots)....

Currently, the GRASS Data Catalog only queries standard spatial maps and bypasses the temporal database and STDS's entirely. As a result, Space Time...

The U.S. Forest Service's Aerial Detection Survey (ADS) program has produced tens of thousands of hand-drawn polygons marking forest health damage...

The sbi (Simulation-Based Inference) library currently constructs neural density estimators via opaque factory functions that accept loose keyword...

Standard PCA assumes a globally stationary covariance structure, missing spatial heterogeneity in geographic data. This project implements...

Panel and HoloViews are powerful Python visualization libraries but they have no MCP integration today. AI agents can write visualization code but...

Every time a researcher wants to train a language model, they end up rewriting the same infrastructure: data loading, optimizer setup, training...

Scikit-bio offers a great toolkit for working with biological data that has a tree-like structure. Although the current implementation, TreeNode, can...

This project aims to deliver comprehensive, end-to-end non-uniform grid support for MethodOfLines.jl. Currently, basic advection schemes lack...

After the 2010 Deepwater Horizon oil spill, airborne surveys produced 18,304 images with 2.6 million birds individually marked using a point-counting...

I propose to implement the Overlay Layer API for Matplotlib’s interactive backends. Currently, tools like the Cursor widget force a full figure...

The `loo` package is a widely used R package in the Stan ecosystem which exposes a clean API to cross-validate (CV) Bayesian models. Currently, some...

PyMC's variational inference stack — including ADVI and Pathfinder — assumes all data fits in memory. Real-world applications such as financial tick...