SciML / NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Why this job: says: neural networks; topics: neural-network, neural-networks, machine-learning
What it does
NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using physics-informed neural networks (PINNs). This package utilizes neural stochastic differential equations to solve PDEs at a greatly increased generality compared with classical methods.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 1,238
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v7.5.0
- Released 13 days ago
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 68% closed
- 127 still open
- Pull requests
- 581 merged
- 28 waiting
- Releases
- 106
- 25 in the last year
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More: languages, topics and project record
Languages
- Julia 100%
Topics
- differential-equations
- differentialequations
- neural-differential-equations
- scientific-ml
- scientific-ai
- partial-differential-equations
- ordinary-differential-equations
- neural-network
- neural-networks
- ode
- pde
- sciml
Project record
- JobAI libraries and models
- StatusListed
- Commits3,209
- Forks253
- Watching32
- Stars in 28 days+4
- CreatedMar 14, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026