program-synthesis

NEAR Program Synthesis: models, tools, and datasets for program synthesis tasks


Keywords
deep-learning, machine-learning, program-synthesis, research-project
License
Apache-2.0
Install
pip install program-synthesis==0.1.2

Documentation

PyPi version DOI

Program Synthesis

NEAR Program Synthesis provides a set of models, tools, and datasets for program synthesis tasks.

This repository will make it easier for the community to compare and reuse program synthesis algorithms across different datasets.

Prerequisites

Python 3 (>=3.5) is required to run the code. We also recommend using virtualenv for isolated Python environments and pip for package management. Note, to create a Python 3 environment you need to run:

virtualenv .env --python=python3
source .env/bin/activate

The code also assumes that PyTorch is already installed.

Installation

For development installation you need to clone the repository:

git clone https://github.com/nearai/program_synthesis.git
cd program_synthesis

Install program-synthesis in editable mode:

pip install -e .

Models and datasets

To cite this repository in publications:

@misc{illia_polosukhin_2018_1299382,
  author       = {Illia Polosukhin and
                  Maksym Zavershynskyi and
                  Richard Shin},
  title        = {nearai/program_synthesis: v0.1.2},
  month        = jun,
  year         = 2018,
  doi          = {10.5281/zenodo.1299382},
  url          = {https://doi.org/10.5281/zenodo.1299382}
}