Trending repositories for topic scientific-computing
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.
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 digital world.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Lightweight, general, scalable C++ library for finite element methods
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimens...
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-c...
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
Framework of fast implementation data processing and operating pipelines
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimens...
Rust numeric library with high performance and friendly syntax
Lightweight, general, scalable C++ library for finite element methods
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-c...
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
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.
Framework of fast implementation data processing and operating pipelines
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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 digital world.
Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
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-c...
Lightweight, general, scalable C++ library for finite element methods
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
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.
Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
:gem: Feel++: Finite Element Embedded Language and Library in C++
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)
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.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Framework of fast implementation data processing and operating pipelines
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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-c...
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 digital world.
Lightweight, general, scalable C++ library for finite element methods
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
:mag: finite element analysis for continuum mechanics of solid bodies
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Curated list of some open source codes employing lattice Boltzmann methods
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
Tutorials for the KITP Galevo23 program
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 📊🗾
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
Framework of fast implementation data processing and operating pipelines
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 digital world.
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-c...
Lightweight, general, scalable C++ library for finite element methods
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
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
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
:mag: finite element analysis for continuum mechanics of solid bodies
Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor ca...
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]