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Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
The Go+ programming language is designed for engineering, STEM education, and data science. Our vision is to enable everyone to become a builder of the world.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
mlpack: a fast, header-only C++ machine learning library
✨ Standard library for JavaScript and Node.js. ✨
ArrayFire: a general purpose GPU library.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
C++ implementation of the Python Numpy library
Sequential model-based optimization with a `scipy.optimize` interface
BS:thread_pool a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
Open-source software for volunteer computing and grid computing.
The Universal Storage Engine
CUDA integration for Python, plus shiny features
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.