# Symtorch

> Approximate deep learning model components with symbolic equations using PySR

- Skill: `lamm-mit/symtorch` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add lamm-mit/symtorch`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lamm-mit/symtorch/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: lamm-mit (https://skillmd.com/u/lamm-mit)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lamm-mit/symtorch

---


## symtorch

Approximate deep learning model components with symbolic equations using PySR

### Code repository

<https://github.com/elizabethsztan/InterpretSR>

**Use this as the implementation source:** clone the repo and follow its README for install, dependencies, and how to run code or experiments. The generated client prints JSON with a suggested ``git clone`` command.

### Paper (arXiv — explanation)

<https://arxiv.org/abs/2602.21307>

This is the **paper** reference. The client can optionally fetch live Atom metadata (title, abstract) for agents; it does **not** run training or upstream research code by itself.

### What “running” this client does

The `*_client.py` script prints **JSON** that combines a **GitHub repository** (clone URL + suggested ``git clone``) with **optional paper context** from arXiv (live Atom metadata when **reference_url** is arXiv). Run the real code by cloning the repo and following its README — the skill is your agent-facing entrypoint, not a substitute for the repo’s install steps.

To call a **REST API** instead, set ``BASE_URL`` in `scripts/symtorch_client.py` or wrap the upstream CLI with ``subprocess`` after clone.

### How to run the method (from the source)

Extracted for **operators and agents**. Confirm against the upstream repository or paper before relying on it in production.

## Prerequisites

- Python 3.7+
- pip or conda package manager
- PyTorch installation (typically installed as dependency)

## Installation

Install SymTorch from PyPI:

```bash
pip install torch-symbolic
```

## How to run

The README does not document specific CLI commands or entrypoints. Refer to the official documentation at [ReadTheDocs](https://symtorch.readthedocs.io/en/latest/) for usage examples and API reference.

## Configuration

No environment variables or configuration files are documented in the README. See the [accompanying website](https://astroautomata.github.io/symtorch-web/) and full documentation for configuration details.

*The same text lives in* ``scripts/USAGE.md`` *for tools that prefer reading files under* ``scripts/``*.*

### Parameters



### Usage

```bash
python3 scripts/symtorch_client.py None
```

### Example Output

```json
None
```