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🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2
Jupyter Notebooks Tutorials on Gaussian Processes
Actually Sparse Variational Gaussian Processes implemented in GPlow
Sparse Heteroscedastic Gaussian Processes
Mode-constrained model-based-reinforcement learning in TensorFlow/GPflow
Subset of Data Variational Inference for Deep Gaussian Process Model
Study of Gaussian Process (GP) local and global approximations, and application of the sparse GP approximation, combining both the global and local approaches.
Towards GPflow 1.0