PSE

(โ˜… 117)

Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

File Explorer

Download Latest Version (.zip)
  • .gitignore
  • custom_data.csv
  • gen_csv_datasets.py
  • LICENSE
  • README-reproduce-guide.md
  • README.md
  • requirements.txt
  • result_analyze_chaotic.py
  • run_benchmark_all.py
  • run_chaotic.py
  • run_custom_data.py
  • run_realworld_EMPS.py
  • run_realworld_roughpipe.py
  • token_generator_config.yaml

# Installation Guide

1. Get the code
git clone https://github.com/intell-sci-comput/PSE

Downloads the entire project code from GitHub to your computer.

cd PSE

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r baselines/algorithms/SPL/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

jupyter notebook

Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.

โœ… If it runs without errors and prints output in the terminal, it worked.

3. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
โš ๏ธ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd baselines/algorithms/DGSR/libs/NeuralSymbolicRegressionThatScales

This project's files live in a subfolder, so move into it first.

make

Compiles the code based on the generated build configuration to produce an executable.

โœ… If it finishes without errors, it worked. Try running the generated executable directly.

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