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
Enterprise-grade ITSM, for every business
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Physical Symbolic Optimization (Φ-SO)!
