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Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Curated list of awesome papers and resources in quantum machine learning
Code for my master's thesis: learning quantum states properties with quantum and classical neural networks
Implementation of many transfer learning algorithms in Python with Jupyter notebooks
Code for the paper Recurrent Machines for Likelihood-Free Inference
Implementation of Adversarial Variational Optimization in PyTorch
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