Scientific Computing
Showing 36 of 329 projects
A Python package for creating interactive animated plots using Matplotlib.
A MATLAB/Octave toolbox for processing High Dynamic Range (HDR) images, including tone mapping and expansion operators.
A scientific library providing tools for research in interplanetary trajectory design and space flight mechanics.
A Python library for parsing computational chemistry logfiles and implementing platform-independent algorithms.
A curated list of awesome Fortran frameworks, libraries, and software for scientific and high-performance computing.
A plotting library for Golang built on top of gnuplot, supporting lines, points, bars, steps, histogram, and circle styles.
Python library for multilinear algebra operations and tensor factorizations with support for dense and sparse tensors.
A tutorial demonstrating how to extend JAX with custom C++ and CUDA operations for high-performance computing.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A universal cheminformatics toolkit with database search engines, a core library, and utilities for molecular processing.
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
An open-source C library for reading and writing binary MATLAB MAT files without requiring MATLAB.
A Python-native block diagram framework for simulating continuous-time, discrete-time, and hybrid dynamical systems.
A user-friendly, thread-safe, and object-oriented API for reading and writing JSON files in modern Fortran.
A Python library for representing and manipulating quaternions, designed for 3D animation and geometry.
An exascale many-physics flow solver for compressible multi-phase simulations, scaling to 200 trillion grid points on 43K+ GPUs.
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
A deep learning library for streamlining research and development using Torch7 with object-oriented design patterns.
A performance-oriented 2D/3D math library for Go, optimized for graphics programming, game development, and scientific computing.
A Rust library implementing advanced astronomical algorithms for planetary positioning, coordinate transformations, and time calculations.
A header-only C++ library for real-time data visualization and simulation support using modern OpenGL.
An efficient open-source Python package for 3D photonic nanostructure simulation and design using GPU-accelerated FDTD with automatic differentiation.
A Python library for GPU-accelerated and differentiable quantum systems simulation built with JAX.
An interactive book about Riemann problems and approximate solvers for hyperbolic PDEs, implemented in Jupyter notebooks.
A GTK / Fortran binding enabling scientists to build cross-platform graphical user interfaces (GUIs) in Fortran.
An R package that embeds Julia for high-performance numerical computing, enabling seamless interoperability between R and Julia.
An advanced quantum computer simulator written in Rust, capable of simulating up to 5-qubit registers for educational and algorithmic exploration.
A Clojure library for parallel computations using OpenCL 2.0 with fast JNI bindings.
Fortran application interfaces for accessing netCDF scientific data files, providing self-describing, network-transparent data storage.
A CPU and GPU-accelerated matrix library optimized for high-performance data mining operations.
A C++ library providing integer, rational, floating-point, complex, and interval number types with extended range and precision beyond built-in types.
A curated list of awesome software, tools, and resources for High Performance Computing (HPC) engineers and administrators.
A comprehensive JavaScript library for complex number arithmetic with a full suite of mathematical functions.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
A comprehensive Go toolkit for High Energy Physics (HEP) data analysis, simulation, and visualization.
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