Statistics for topic scientific-computing
RepositoryStats tracks 518,986 Github repositories, of these 228 are tagged with the scientific-computing topic. The most common primary language for repositories using this topic is Python (77). Other languages include: C++ (49), Jupyter Notebook (17), C (13)
Stargazers over time for topic scientific-computing
Most starred repositories for topic scientific-computing (view more)
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The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Lightweight, general, scalable C++ library for finite element methods
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
Rust Scientific Libary. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. ODE and DAE solvers. Probability distributions. Tensor calculus.
Framework of fast implementation data processing and operating pipelines
a python package for the interfacial analysis of molecular simulations
Efficient and type-stable physical quantities in Julia
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Lightweight, general, scalable C++ library for finite element methods
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
Framework of fast implementation data processing and operating pipelines
Rust Scientific Libary. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. ODE and DAE solvers. Probability distributions. Tensor calculus.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Modular spatio-temporal models for epidemic and pandemic simulations
Efficient and type-stable physical quantities in Julia
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Framework of fast implementation data processing and operating pipelines
A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry
Rust Scientific Libary. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. ODE and DAE solvers. Probability distributions. Tensor calculus.
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
PHP extension for efficient scientific computing and array manipulation with GPU support
Efficient and type-stable physical quantities in Julia
Framework of fast implementation data processing and operating pipelines
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Efficient and type-stable physical quantities in Julia
A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.