WassimTenachi / PhySOLinks
Physical Symbolic Optimization
☆1,954Updated 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☆65Updated last year
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,247Updated 5 months ago
- ☆733Updated last year
- High-Performance Symbolic Regression in Python and Julia☆3,337Updated this week
- A deep learning framework for symbolic optimization.☆704Updated last week
- A differentiable PDE solving framework for machine learning☆1,799Updated last week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆773Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,056Updated 8 months ago
- Python package for solving partial differential equations using finite differences.☆454Updated this week
- Computational Fluid Dynamics in JAX☆913Updated 2 weeks ago
- Learning nonlinear operators via DeepONet☆753Updated 3 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,739Updated 3 weeks ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,864Updated 3 months ago
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,271Updated this week
- Learning in infinite dimension with neural operators.☆3,346Updated 2 weeks ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆772Updated 6 months ago
- A library for scientific machine learning and physics-informed learning☆3,822Updated last month
- Lagrangian Neural Networks☆537Updated 4 months ago
- Python Dynamic Mode Decomposition☆1,177Updated last month
- Physics-Informed Neural networks for Advanced modeling☆692Updated last week
- ☆1,073Updated 3 weeks ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,888Updated this week
- A living benchmark framework for symbolic regression☆292Updated 3 months ago
- A community supported Windows build for jax.☆356Updated 2 years ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆2,336Updated this week
- Surrogate Modeling Toolbox☆848Updated 3 weeks ago
- Python package for numerical derivatives and partial differential equations in any number of dimensions.☆496Updated last month
- Notes and solutions for Modern Quantum Mechanics by Sakurai & Napolitano☆157Updated 2 years ago
- Differentiable Finite Element Method with JAX☆571Updated last week