14.3 Tools and Frameworks

1. TensorFlow:

   • Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., & Isard, M. (2016). “TensorFlow: A System for Large-Scale Machine Learning.” Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI).

2. PyTorch:

   • Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., & Antiga, L. (2019). “PyTorch: An Imperative Style, High-Performance Deep Learning Library.” Advances in Neural Information Processing Systems (NeurIPS).

3. Hugging Face Transformers:

   • Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., & Funtowicz, M. (2020). “Transformers: State-of-the-Art Natural Language Processing.” arXiv preprint arXiv:1910.03771.

4. OpenAI Codex:

   • OpenAI. (2021). “Introducing Codex.” OpenAI Research.