NeuroDiffGym/neurodiffeq
A PyTorch-based library that uses neural networks to solve ordinary and partial differential equations.
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NeuroDiffEq implements physics-informed neural networks (PINNs) to solve differential equations without requiring labeled training data. The library encodes ODEs and PDEs as loss functions within the neural network training process, allowing the network to learn solutions that satisfy the governing equations. It provides tools for both initial value problems and boundary value problems.
Frequently asked
- What is NeuroDiffGym/neurodiffeq?
- A PyTorch-based library that uses neural networks to solve ordinary and partial differential equations.
- Is neurodiffeq open source?
- Yes — NeuroDiffGym/neurodiffeq is open source, released under the MIT license.
- What language is neurodiffeq written in?
- NeuroDiffGym/neurodiffeq is primarily written in Python.
- How popular is neurodiffeq?
- NeuroDiffGym/neurodiffeq has 790 stars on GitHub.
- Where can I find neurodiffeq?
- NeuroDiffGym/neurodiffeq is on GitHub at https://github.com/NeuroDiffGym/neurodiffeq.