MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
- python
- neuroscience
- electroencephalography
- magnetoencephalography
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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Carefully curated resource links for data science in one place
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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, Matlab/Octave, Julia or Javascript
Lightweight, general, scalable C++ library for finite element methods
A python module for scientific analysis of 3D data based on VTK and Numpy
Mixed-precision math, linear-algebra & retrieval kernels, 4000+ symbols from 4-bit numbers to 128-bit complex, for x86, Arm, RISC-V, LoongArch, Power & WASM, AMX & SME included 📐
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
The development repository for the deal.II finite element library
Computational Geometry Unity library with implementations of intersection algorithms, triangulations like delaunay, voronoi diagrams, polygon clipping, bezier curves, ear clipping, convex hulls, mesh simplification, etc
Primary repository for the Trilinos Project
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Brian is a free, open source simulator for spiking neural networks.
📈 Multidimensional arrays for JavaScript
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Scientific-grade astronomy routines for Python
C++ library for solving large sparse linear systems with algebraic multigrid method
Python package for graph neural networks in chemistry and biology
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Simple finite element assemblers
FiPy is a Finite Volume PDE solver written in Python