pymc-labs/alchemize
LLM-based, self-correcting transpiler. Supports JAX, PyTorch, Rust, PyMC, Stan.
This project helps you optimize your computational models, such as probabilistic programs or deep learning networks, for speed and efficiency. You provide a model written in languages like PyMC, Stan, JAX, or PyTorch, and it outputs a numerically validated, optimized version in Rust, or translates it between PyMC, Stan, JAX, and PyTorch. Scientists, statisticians, or machine learning engineers who need faster model execution or want to port models between different frameworks would use this.
Use this if you need to significantly speed up your existing computational models or port them between different programming frameworks while ensuring numerical accuracy.
Not ideal if you are working with very simple models that don't require performance optimization or if you prefer manual code translation for full control.
Stars
10
Forks
1
Language
Rust
License
Apache-2.0
Category
Last pushed
Apr 01, 2026
Commits (30d)
0
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