Scientific Computing
Showing 36 of 450 projects
A single-file library providing functional programming utilities like map, filter, fold, and set operations for modern Fortran.
A high-performance C++ automatic differentiation library for large-scale, performance-critical systems.
A high-performance C++ automatic differentiation library for large-scale, performance-critical systems.
A Python library for parsing computational chemistry logfiles and implementing platform-independent algorithms.
A scientific library providing tools for research in interplanetary trajectory design and space flight mechanics.
A Julia package providing digital signal processing routines including filter design, periodograms, window functions, and estimation.
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 curated list of awesome Fortran frameworks, libraries, and software for scientific and high-performance computing.
An exascale many-physics flow solver for compressible multi-phase simulations, scaling to 200 trillion grid points on 43K+ GPUs.
A universal cheminformatics toolkit with database search engines, a core library, and utilities for molecular processing.
Python library for multilinear algebra operations and tensor factorizations with support for dense and sparse tensors.
A plotting library for Golang built on top of gnuplot, supporting lines, points, bars, steps, histogram, and circle styles.
A tutorial demonstrating how to extend JAX with custom C++ and CUDA operations for high-performance computing.
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
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.
An open-source C library for reading and writing binary MATLAB MAT files without requiring MATLAB.
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.
A performance-oriented 2D/3D math library for Go, optimized for graphics programming, game development, and scientific computing.
An efficient open-source Python package for 3D photonic nanostructure simulation and design using GPU-accelerated FDTD with automatic differentiation.
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 Rust library implementing advanced astronomical algorithms for planetary positioning, coordinate transformations, and time calculations.
A Python library for GPU-accelerated and differentiable quantum systems simulation built with JAX.
A header-only C++ library for real-time data visualization and simulation support using modern OpenGL.
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.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
An advanced quantum computer simulator written in Rust, capable of simulating up to 5-qubit registers for educational and algorithmic exploration.
An R package that embeds Julia for high-performance numerical computing, enabling seamless interoperability between R and Julia.
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 curated list of awesome software, tools, and resources for High Performance Computing (HPC) engineers and administrators.
A CPU and GPU-accelerated matrix library optimized for high-performance data mining operations.
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