WassimTenachi / PhySOLinks
Physical Symbolic Optimization
☆1,895Updated this week
Alternatives and similar repositories for PhySO
Users that are interested in PhySO are comparing it to the libraries listed below
Sorting:
- 这是物理学公式拟合工具 PhySO(Φ-SO)库的中文注释项目,帮助需要快速入门此工具的中国科研人员初步熟悉该工具的使用☆61Updated 7 months ago
- High-Performance Symbolic Regression in Python and Julia☆2,982Updated this week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆759Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆941Updated 2 months ago
- ☆700Updated last year
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,149Updated last month
- A library for scientific machine learning and physics-informed learning☆3,381Updated last month
- A package for the sparse identification of nonlinear dynamical systems from data☆1,620Updated last week
- Learning nonlinear operators via DeepONet☆685Updated 3 years ago
- A deep learning framework for symbolic optimization.☆669Updated 6 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆753Updated last week
- Learning in infinite dimension with neural operators.☆2,837Updated last week
- Python package for solving partial differential equations using finite differences.☆445Updated 2 weeks ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,704Updated this week
- A differentiable PDE solving framework for machine learning☆1,643Updated last week
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆4,875Updated last year
- Computational Fluid Dynamics in JAX☆860Updated 4 months ago
- ☆986Updated last week
- A community supported Windows build for jax.☆355Updated last year
- Python package for numerical derivatives and partial differential equations in any number of dimensions.☆479Updated 7 months ago
- Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.☆298Updated 10 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,818Updated this week
- Python Dynamic Mode Decomposition☆1,011Updated 2 months ago
- Lagrangian Neural Networks☆505Updated last year
- Must-read Papers on Physics-Informed Neural Networks.☆1,232Updated last year
- ☆472Updated 4 months ago
- Physics-Informed Neural networks for Advanced modeling☆540Updated this week
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,036Updated last month
- PyTorch Implementation of Physics-informed Neural Networks☆645Updated last year
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆1,709Updated this week