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1. neural_process neural_process Public

   A PyTorch implementation of several Neural Process variants, including Bayesian Context Aggregation.

   Python 2

2. i_bayes_rule_tf i_bayes_rule_tf Public

   A TensorFlow 2.0 implementation of the Improved Bayesian Learning Rule by Lin et al. for finite Gaussian mixtures.

   Python

3. mtbnn_pyro mtbnn_pyro Public

   Multi-task Bayesian Neural Networks in Pyro.

   Python

4. gmm_util gmm_util Public

   Utilities for learning with finite Gaussian mixture models.

   Python

5. metalearning_benchmarks metalearning_benchmarks Public

   A collection of simple benchmark tasks to test meta learning algorithms.

   Python 1

6. ml1_notebooks ml1_notebooks Public

   Some notebooks for visualizing concepts for the Machine Learning 1 lecture at KIT.

   Jupyter Notebook