Alternatives and similar repositories for PhySO

Users that are interested in PhySO are comparing it to the libraries listed below

• 66my / -PhySO-
  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
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆930Updated last month
• SJ001 / AI-Feynman
  ☆693Updated last year
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,633Updated 2 months ago
• tum-pbs / pbdl-book
  Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
  ☆1,127Updated last month
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆444Updated 2 weeks ago
• dynamicslab / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆1,607Updated this week
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆659Updated 6 months ago
• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆851Updated 3 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆757Updated last year
• MilesCranmer / PySR
  High-Performance Symbolic Regression in Python and Julia
  ☆2,940Updated last week
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆2,764Updated last week
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆674Updated 3 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆970Updated last week
• lululxvi / deepxde
  A library for scientific machine learning and physics-informed learning
  ☆3,330Updated 3 weeks ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆748Updated this week
• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆1,005Updated last month
• thunil / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆1,808Updated last week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆430Updated last week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,689Updated 3 weeks ago
• Ceyron / machine-learning-and-simulation
  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…
  ☆1,025Updated last month
• benmoseley / harmonic-oscillator-pinn
  Code accompanying my blog post: So, what is a physics-informed neural network?
  ☆611Updated 3 years ago
• pnnl / neuromancer
  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …
  ☆1,151Updated this week
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆233Updated 8 months ago
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,217Updated last year
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆528Updated this week
• maroba / findiff
  Python package for numerical derivatives and partial differential equations in any number of dimensions.
  ☆476Updated 6 months ago
• PredictiveIntelligenceLab / jaxpi
  ☆316Updated 2 months ago
• neuraloperator / physics_informed
  ☆465Updated 3 months ago
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆639Updated last year