Showing 21-36 of 36 projects
A collection of resources for working with differential equations, deep learning, and dynamical systems.
Beautiful math equation rendering library for iOS and macOS developers.
A collection of must-read papers on Physics-Informed Neural Networks (PINNs), a powerful approach for solving differential equations.
A Python library that translates scientific papers from LaTeX, especially from arXiv, to other languages.
A JavaScript library for building, displaying, and solving algebraic equations.
A PowerPoint add-in to insert LaTeX equations into presentations on Windows and Mac.
Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.
A PyTorch library for image synthesis and editing using stochastic differential equations.
A Python module for solving and visualizing the Schrรถdinger equation, useful for quantum physics research and education.
Brian is a free, open-source simulator for spiking neural networks, used in computational neuroscience.
A Python library for arbitrary-precision floating-point arithmetic, providing advanced numerical capabilities.
This is a library for solving partial differential equations using neural networks.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
A Dart package that helps implement value-based equality without needing to override == and hashCode
Next generation FEniCS problem solving environment for finite-element-based numerical simulations.
An extensive Qt5 & Qt6 plotter framework with a feature-rich plotter widget, optimized for scientific visualization.
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