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PyTorch implementation of the paper 'Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks' (ICML 2017)

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MAML

PyTorch implementation of the paper 'Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks' (ICML 2017)

Requirements

  • PyTorch 1.4.x >
  • Python 3.x >

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References

[1] Finn, Chelsea, Pieter Abbeel, and Sergey Levine. "Model-agnostic meta-learning for fast adaptation of deep networks." arXiv preprint arXiv:1703.03400 (2017). (https://arxiv.org/pdf/1703.03400)

[2] Rajeswaran, Aravind, et al. "Meta-learning with implicit gradients." Advances in Neural Information Processing Systems. 2019. (https://papers.nips.cc/paper/8306-meta-learning-with-implicit-gradients.pdf)

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PyTorch implementation of the paper 'Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks' (ICML 2017)

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