Scientific Computing
Showing 36 of 329 projects
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.
A JAX-based probabilistic programming framework using nested sampling for fast Bayesian inference and evidence computation.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.
An open-source modeling tool for evaluating the performance of proton-exchange membrane fuel cells (PEMFC) using static and dynamic models.
A Python library for reading, writing, and converting microscopy image formats with support for OME-TIFF, CZI, ND2, and more.
A pure Python mesh generator for 2D geometries, inspired by distmesh, with a user-friendly interface and high-quality output.
A high-level environment for solving integral and differential equations in many dimensions using adaptive, fast methods with guaranteed precision.
Open-source runtime that executes MATLAB syntax on CPU and GPU automatically, with cross-platform hardware support and no vendor lock-in.
CUDA backend implementation for Torch's neural network package, enabling GPU acceleration for deep learning models.
A unified framework for modeling chemically reactive systems with support for equilibrium, kinetics, and multiple thermochemical databases.
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
A Python library that enables mathematical operations on JAX pytrees, allowing numerical algorithms to work directly with complex nested data structures.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, running on CPU, GPU, and TPU.
A Jupyter kernel for the Maxima computer algebra system, enabling interactive notebooks for symbolic mathematics.
A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.
A Clojure library for GPU-accelerated computing using NVIDIA CUDA, enabling high-performance parallel processing.
An artificial life simulation system that evolves neural networks for artificial intelligence research.
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 high-performance Common Lisp library for representing and processing 2D pixel-based images with minimal dependencies.
A Python library providing orthogonal polynomial classes for lines, triangles, disks, spheres, n-cubes, and nD spaces with stable recurrence schemes.
A Swift library providing numpy-like multi-dimensional data structures and operations for numerical computing.
A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.
An R package to programmatically retrieve chemical information from various web databases and APIs.
A Rust scientific library for high-performance numerical mathematics, including ODE/DAE solvers, linear algebra, special functions, and tensor calculus.
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 Python probabilistic programming framework for objective model selection in time-varying parameter time series models.
A Go library implementing sparse matrix formats for linear algebra, compatible with Gonum and supporting scientific/ML applications.
A pure Fortran 2003+ library for building elegant command-line interfaces, inspired by Python's argparse.
A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.
A high-performance tensor library for the V programming language, providing n-dimensional data structures and linear algebra operations.
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