Statistics for topic scientific-computing
RepositoryStats tracks 584,797 Github repositories, of these 255 are tagged with the scientific-computing topic. The most common primary language for repositories using this topic is Python (86). Other languages include: C++ (51), Jupyter Notebook (20), Rust (14), C (12)
Stargazers over time for topic scientific-computing
Most starred repositories for topic scientific-computing (view more)
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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 fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Framework of fast implementation data processing and operating pipelines
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
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 and CPUs via OpenCL. Free for non-commercial use.
Open-source Platform for Scientific and Technical Data Processing and Visualization
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Framework of fast implementation data processing and operating pipelines
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Image reading, metadata management, and image writing for Microscopy images in Python
Framework of fast implementation data processing and operating pipelines
A community-focused repository dedicated to fostering learning and development in Artificial Intelligence 🚀. This project, created by me, @Genetifics, aims to provide high-quality, accessible, and fr...
Open-source Platform for Scientific and Technical Data Processing and Visualization
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 and CPUs via OpenCL. Free for non-commercial use.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Image reading, metadata management, and image writing for Microscopy images in Python
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
