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---
license: mit
tags:
- program synthesis
---
# RobustFill
GitHub: https://github.com/yeoedward/Robust-Fill
Original Paper: https://arxiv.org/pdf/1703.07469.pdf
The RobustFill network by Devlin et al. is trained for the following task -- based on a few example input-output string pairs, generate a program in a domain-specific language that transforms the given inputs into the given outputs. This program can then be used to transform unseen inputs.
This repo contains a PyTorch checkpoint of the model and optimizer state dicts after `4 gpus x 195,200 minibatches x 32 batch_size = 24,985,600 samples` of training.
Please see the demo notebook for an example of how to use it: [Demo Notebook](https://github.com/yeoedward/Robust-Fill/blob/master/demo.ipynb) |