mcbal/afem
Implementation of approximate free-energy minimization in PyTorch
This project offers an experimental approach to understanding complex systems, particularly those that can be modeled like 'spin systems' in physics. It helps researchers simulate and analyze the behavior of these systems by inputting system parameters and outputting insights into their lowest energy states. Physicists, material scientists, and researchers in statistical mechanics would find this tool useful for theoretical exploration.
No commits in the last 6 months.
Use this if you are a theoretical physicist or material scientist interested in exploring the foundational principles of free-energy minimization in spin models.
Not ideal if you are looking for a tool to solve practical engineering problems or analyze real-world sensor data directly.
Stars
21
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 16, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/mcbal/afem"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features...
kanishkamisra/minicons
Utility for behavioral and representational analyses of Language Models
lucidrains/simple-hierarchical-transformer
Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
lucidrains/dreamer4
Implementation of Danijar's latest iteration for his Dreamer line of work
Nicolepcx/Transformers-in-Action
This is the corresponding code for the book Transformers in Action