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Interlude: Getting reproducible training results with Fast.ai + PyTorch

dronelab.dev · published 24 May 2025

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https://colab.research.google.com/drive/1BDCNvpn7MFiTE0k-q21A-YKoYAiGypug?usp=sharing

colab.research.google.com

https://fastai1.fast.ai/dev/test.html

fastai1.fast.ai

https://docs.fast.ai/torch_core.html

docs.fast.ai

https://github.com/fastai/fastai/blob/main/fastai/torch_core.py

github.com

https://docs.pytorch.org/docs/stable/notes/randomness.html

docs.pytorch.org

https://docs.pytorch.org/docs/stable/generated/torch.use_deterministic_algorithms.html

docs.pytorch.org

https://colab.research.google.com/drive/1b2F6J_-FhG37odYyrJPxBdjPtyTzJGkn?usp=sharing

colab.research.google.com

https://colab.research.google.com/drive/1yphkoDvcmb67JGXXCFK_dRN74VEY72lm?usp=sharing

colab.research.google.com

https://colab.research.google.com/drive/1fOHcdEDja9OzmIBLkGqTiRf6gknVJGy-?usp=sharing

colab.research.google.com

https://colab.research.google.com/drive/1DB--1tnAOGdc5wgHNFc0KE5xhcJFRXgh?usp=sharing

colab.research.google.com

https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7

darinabal.medium.com

https://medium.com/@heyamit10/pytorch-reproducibility-a-practical-guide-d6f573cba679

medium.com