JetTrain: IDE-Native Machine Learning Experiments
<|reference_start|>JetTrain: IDE-Native Machine Learning Experiments: Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain, an IDE-integrated tool that delegates specific tasks from an IDE to remote computational resources. A user can write and debug code locally and then seamlessly run it remotely using on-demand hardware. We argue that this approach can lower the entry barrier for ML training problems and increase experiment throughput.<|reference_end|>
@article{trofimov2024jettrain:,
    title={JetTrain: IDE-Native Machine Learning Experiments},
    author={Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia
  Ponomareva, Igor Naumov, Maksim Melekhovets},
    journal={arXiv preprint arXiv:2402.10857},
    year={2024},
    doi={10.1145/3643796.3648455},
    archivePrefix={arXiv},
    eprint={2402.10857},
    primaryClass={cs.SE cs.LG}
}