Scientific Computing
Showing 36 of 450 projects
A curated list of awesome software, tools, and resources for High Performance Computing (HPC) engineers and administrators.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
A comprehensive JavaScript library for complex number arithmetic with a full suite of mathematical functions.
A comprehensive Go toolkit for High Energy Physics (HEP) data analysis, simulation, and visualization.
A JAX-based probabilistic programming framework using nested sampling for fast Bayesian inference and evidence computation.
A high-performance, type-safe DataFrame library for the JVM enabling large-scale data analysis with parallel processing capabilities.
Automates citation collection for scientific software, methods, and datasets used in Python analyses.
A differentiable cosmology library built with JAX for automatic differentiation of cosmological calculations.
Open-source runtime that executes MATLAB syntax on CPU and GPU automatically, with cross-platform hardware support and no vendor lock-in.
An open-source modeling tool for evaluating the performance of proton-exchange membrane fuel cells (PEMFC) using static and dynamic models.
A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.
A pure Python mesh generator for 2D geometries, inspired by distmesh, with a user-friendly interface and high-quality output.
A Python library for reading, writing, and converting microscopy image formats with support for OME-TIFF, CZI, ND2, and more.
A high-level environment for solving integral and differential equations in many dimensions using adaptive, fast methods with guaranteed precision.
A unified framework for modeling chemically reactive systems with support for equilibrium, kinetics, and multiple thermochemical databases.
CUDA backend implementation for Torch's neural network package, enabling GPU acceleration for deep learning models.
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, running on CPU, GPU, and TPU.
A Python library that enables mathematical operations on JAX pytrees, allowing numerical algorithms to work directly with complex nested data structures.
An artificial life simulation system that evolves neural networks for artificial intelligence research.
A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.
A Jupyter kernel for the Maxima computer algebra system, enabling interactive notebooks for symbolic mathematics.
A Clojure library for GPU-accelerated computing using NVIDIA CUDA, enabling high-performance parallel processing.
A Rust binding for the GNU Scientific Library (GSL), providing access to numerical routines for scientific computing.
A collection of mathematical functions for Elixir focused on statistics, linear algebra, and machine learning.
A Rust scientific library for high-performance numerical mathematics, including ODE/DAE solvers, linear algebra, special functions, and tensor calculus.
A Python library providing orthogonal polynomial classes for lines, triangles, disks, spheres, n-cubes, and nD spaces with stable recurrence schemes.
A high-performance Common Lisp library for representing and processing 2D pixel-based images with minimal dependencies.
A Swift library providing numpy-like multi-dimensional data structures and operations for numerical computing.
An R package to programmatically retrieve chemical information from various web databases and APIs.
A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.
A Python API for downloading and processing neuroanatomical atlas data from multiple sources.
A Julia package providing core utilities for manipulating, comparing, and analyzing phylogenetic trees and networks.
A Python library for serverless, random-access reading and writing of Neuroglancer Precomputed format volumes, meshes, and skeletons.
A pure Fortran 2003+ library for building elegant command-line interfaces, inspired by Python's argparse.
A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.
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