Scientific Computing
Showing 36 of 450 projects
A Go library implementing sparse matrix formats for linear algebra, compatible with Gonum and supporting scientific/ML applications.
A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.
A Python implementation of Two Source Energy Balance models for estimating evapotranspiration using remote sensing data.
A high-performance tensor library for the V programming language, providing n-dimensional data structures and linear algebra operations.
A library for type-safe physical computations and unit conversions in Idris, ensuring dimensional correctness.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
A Julia package for reproducible data setup, automating dataset downloads and management for scientific computing.
A C++11 header-only FFT library with support for multidimensional arrays, DCT/DST, and optimized performance for large prime factors.
A high-performance unified C++ framework implementing domain decomposition methods for solving large-scale elliptic PDEs on parallel computers.
A modern Fortran library for date and time manipulation with millisecond precision.
A GitHub Action that automatically tests Jupyter notebooks from top to bottom using nbmake and pytest.
A desktop application for interactive computing with Jupyter notebooks, supporting multiple kernels and rich outputs.
An open-source Fortran 2003 solver for Navier-Stokes equations using finite volume methods with parallel computing capabilities.
An OCI-compatible container engine designed specifically for running Linux containers on High Performance Computing (HPC) environments.
A header-only C++ library for creating interactive data visualizations using the Plotly.js figure spec.
A C++ backend implementation of the Jupyter interactive widgets protocol for use with xeus-cpp and clang-repl.
A fast, flexible, and compact deep learning framework for Julia that runs on CPU and CUDA GPU.
An R package that provides a bidirectional interface for calling Julia code from R and mapping objects between both languages.
A NumPy-like multi-dimensional array library for Swift with support for complex numbers and image processing.
A PhD-level course on computational economics covering Python, Julia, and economic modeling techniques.
A set of libraries enabling native execution of D code on GPUs and other accelerators via OpenCL and CUDA runtimes.
A Python package for generating high-quality 2D/3D triangular meshes for finite element simulations, with parallel support and seismology applications.
Statistical functions and distributions for Elixir, including descriptive statistics and probability distributions.
A JAX-based framework for building differentiable numerical simulators with arbitrary discretizations for physical systems.
A Swift library for numerical computing with numpy-like APIs and Jupyter-like playground notebooks.
A PHP library for converting units, sizes, and number bases with support for physical quantities and clothing sizes.
A Python framework for accessing wind data sources and performing renewable energy forecasting and prediction.
A Python package for Dynamic Mode Decomposition, providing tools to extract spatiotemporal coherent structures from time-varying datasets.
A high-performance, user-friendly OCaml library for bioinformatics applications.
A Fiji plugin for pixel-based image segmentation using Weka machine learning algorithms and image features.
A Rust library for generating publication-quality figures by producing PGFPlots code.
A library of mathematical morphology methods and plugins for ImageJ, extending its capabilities for 2D/3D image analysis.
A symbolic math library and computer algebra system for Rust, providing symbolic differentiation, integration, equation solving, and more.
A comprehensive OCaml library for mathematical and statistical analysis with descriptive, typed APIs.
A comprehensive OCaml library for mathematical and statistical analysis with typed, descriptive APIs.
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