Scientific Computing
Showing 36 of 82 projects
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of awesome open-source bioinformatics software, libraries, and resources, primarily for command-line analysis.
A templatized header-only C++ implementation of the Python NumPy library for numerical computing.
A C++ library for numerical analysis with multi-dimensional array expressions featuring broadcasting and lazy computing.
An open-source numerical library for .NET and Mono providing algorithms for scientific computing, linear algebra, statistics, and more.
Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.
Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.
A comprehensive lecture series teaching scientific computing with Python through interactive IPython notebooks.
A tiny and efficient C++/Python binding library with faster compilation, smaller binaries, and lower runtime overhead than pybind11.
A numerical processing library for Scala, providing generic, clean, and powerful linear algebra and scientific computing capabilities.
An open-source computational neuroscience course with tutorials, exercises, and interactive materials for students and researchers.
A fast, lightweight, modern, and easy-to-use C++17/20/23 thread pool library for high-performance parallel computing.
A Go library for building and drawing plots and visualizations with a flexible API and multiple backends.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
A Common Lisp implementation that compiles to native code via LLVM and seamlessly interoperates with C++ libraries.
A portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.
An open source container platform designed for simplicity, speed, and security in HPC and shared computing environments.
An open-source implementation of the Message Passing Interface (MPI) specification for high-performance computing.
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems.
A pure Rust linear algebra library focusing on portability, correctness, and performance with both low-level routines and high-level wrappers.
A comprehensive, self-contained mathematics library for PHP with no external dependencies, covering algebra, statistics, linear algebra, and numerical analysis.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
A Python library for reading, writing, and converting between many mesh file formats used in scientific computing.
A library for nonlinear optimization, providing a unified interface to multiple local and global optimization algorithms.
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A curated list of Quarto talks, tools, examples, and articles for the open-source scientific publishing system.
A curated list of Quarto talks, tools, examples, and articles for the open-source scientific publishing system.
A curated list of awesome libraries, projects, tutorials, and resources for the JAX machine learning ecosystem.
An embeddable C++ storage engine for dense and sparse multi-dimensional arrays, dataframes, and key-value stores.
An open-source Python toolbox for simulating the dynamics of closed and open quantum systems.
A JAX-based library providing numerical differential equation solvers for ODEs, SDEs, and CDEs with autodifferentiation and GPU support.
3D plotting for Python in Jupyter notebooks using WebGL and IPython widgets.
A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.
A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.
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