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Re-implement of Bayesian Model-Agnostic Meta-Learning

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BMAML

Re-implement of Bayesian Model-Agnostic Meta-Learning

Work in progress...

  • hyper-param tuning(nearly done)
  • Contrast with MAML
  • visualization of predictions
  • Experiemnts on other dataset
  • update README...

Each directory

  • For the full pipeline of continious adaptation, go to con.baseline. con.baseline contains how to run
  • con.nornn: Removes the rnn kernel from the full pipeline
  • con.baseline.stop: Stop the gradient of history particles in rnn kernel
  • con.Bmaml.eq: BMAML

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Re-implement of Bayesian Model-Agnostic Meta-Learning

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