This demo automates the extraction and development of PyTorch models from academic papers. It supports various model types through two main components: Reader and Coder.
#### [Workflow Components](#_rdloops)
1. **[Reader](#_research)**
- Extracts model information from papers, including architectures and parameters.
- Converts content into a structured format using Large Language Models.
2. **[Evolving Coder](#_development)**
- Translates structured information into executable PyTorch code.
- Ensures correct tensor shapes with an evolving coding mechanism.
- Refines the code to match source specifications.