Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
☆103Jun 10, 2026Updated last week
Alternatives and similar repositories for PhiML
Users that are interested in PhiML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository of the PICT Solver☆53Jan 29, 2026Updated 4 months ago
- ☆18Dec 26, 2024Updated last year
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆26Jun 2, 2026Updated 2 weeks ago
- ☆13Dec 19, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Mar 10, 2024Updated 2 years ago
- ☆20May 25, 2024Updated 2 years ago
- Stainless neural networks in JAX☆36Feb 3, 2026Updated 4 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20May 8, 2024Updated 2 years ago
- Differentiable Fluid Dynamics Package☆589Updated this week
- Python 2D Navier-Stokes solver☆31Aug 4, 2025Updated 10 months ago
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 5 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆82Nov 21, 2025Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆186Apr 10, 2025Updated last year
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- ☆230Feb 21, 2026Updated 3 months ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆16Oct 12, 2022Updated 3 years ago
- ☆11Jun 4, 2024Updated 2 years ago
- Simulation-based inference in JAX☆52Mar 25, 2026Updated 2 months ago
- ☆1,108Apr 9, 2026Updated 2 months ago
- ☆11Jan 7, 2025Updated last year
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- TorchFSM: Fourier Spectral Method with PyTorch☆59Jun 1, 2026Updated 2 weeks ago
- ☆14Aug 8, 2023Updated 2 years ago
- A Massively Parallel FFT Library for CPU/GPU☆57Nov 5, 2020Updated 5 years ago
- Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions☆33Aug 17, 2024Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆88Nov 4, 2024Updated last year
- ☆309Sep 14, 2024Updated last year
- ☆90Jul 18, 2023Updated 2 years ago
- JAX reimplementation and bindings for the NVIDIA cuDecomp library☆56May 17, 2026Updated last month
- Probabilistic modeling of tabular data with normalizing flows.☆63May 6, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Computational Fluid Dynamics in JAX☆948Feb 24, 2026Updated 3 months ago
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆21Oct 7, 2023Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 3 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- Physics Constrained Neural Networks☆12Apr 4, 2023Updated 3 years ago
- Mini-applications that exclusively use the Kokkos programming model☆12Mar 21, 2023Updated 3 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Jan 9, 2024Updated 2 years ago