Download
Physical Symbolic Optimization (Φ-SO) - A symbolic optimization package built for physics. Symbolic regression module uses deep reinforcement learning to infer analytical physical laws that fit data points, searching in the space of functional forms.
Features
- Physical units constraints, reducing the search space with dimensional analysis
- Class constraints, searching for a single analytical functional form that accurately fits multiple datasets
- PhySO recovers the equation for a damped harmonic oscillator
- Documentation available
- Examples available
- State-of-the-art performance in the presence of noise
Project Samples
Categories
Physics, Machine Learning, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow Physical Symbolic Optimization (Φ-SO)
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Physical Symbolic Optimization (Φ-SO)!