Tristan Deleu

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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One-shot Learning with Memory-Augmented Neural Networks

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An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

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Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

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Code for "Bayesian Structure Learning with Generative Flow Networks"

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A collection of meta-learning algorithms in Jax

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Theano implementation of the Neural GPU

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Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch

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Python implementation of the Switching Kalman Filter

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