A differentiable PDE solving framework for machine learning
☆1,848Apr 10, 2026Updated this week
Alternatives and similar repositories for PhiFlow
Users that are interested in PhiFlow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Computational Fluid Dynamics in JAX☆938Feb 24, 2026Updated last month
- Differentiable Fluid Dynamics Package☆557Apr 8, 2026Updated last week
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆177Oct 19, 2022Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,106Mar 30, 2026Updated 2 weeks ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,875Oct 10, 2025Updated 6 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,308Aug 12, 2025Updated 8 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆99Updated this week
- ☆297Sep 14, 2024Updated last year
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆453Mar 9, 2026Updated last month
- A library for scientific machine learning and physics-informed learning☆4,049Mar 1, 2026Updated last month
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆779Jul 27, 2025Updated 8 months ago
- Learning in infinite dimension with neural operators.☆3,539Feb 24, 2026Updated last month
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,965Apr 5, 2026Updated last week
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆36Apr 22, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A flexible framework for solving PDEs with modern spectral methods.☆681Updated this week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134Mar 24, 2026Updated 3 weeks ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆146Sep 11, 2024Updated last year
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆284Mar 25, 2026Updated 3 weeks ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆2,667Updated this week
- ☆1,090Apr 9, 2026Updated last week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,558May 2, 2024Updated last year
- ☆529Apr 1, 2025Updated last year
- Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"☆24Dec 9, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,167Feb 14, 2026Updated 2 months ago
- Using graph network to solve PDEs☆441Jun 2, 2025Updated 10 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,184Updated this week
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,758Feb 11, 2026Updated 2 months ago
- Python package for solving partial differential equations using finite differences.☆455Apr 1, 2026Updated 2 weeks ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,395Apr 4, 2025Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,714Dec 30, 2024Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆181Apr 10, 2025Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆461Oct 2, 2025Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆130Mar 28, 2023Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆319Jun 2, 2025Updated 10 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆44Sep 30, 2022Updated 3 years ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆342Nov 15, 2022Updated 3 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆99Nov 11, 2025Updated 5 months ago
- Spectral Navier Stokes (and similar) solvers in Python☆347Aug 4, 2023Updated 2 years ago
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,402Apr 5, 2026Updated last week