Gaussian processes in TensorFlow
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Updated
May 22, 2024 - Python
Gaussian processes in TensorFlow
Bayesian Optimization using GPflow
Deep convolutional gaussian processes.
Non-stationary spectral mixture kernels implemented in GPflow
Library for Deep Gaussian Processes based on GPflow
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
Jupyter Notebooks Tutorials on Gaussian Processes
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2
Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"
Gaussian-Processes Surrogate Optimisation in python
Actually Sparse Variational Gaussian Processes implemented in GPlow
Interactive Gaussian Processes
Sparse Heteroscedastic Gaussian Processes
LaTeX code for my PhD thesis.
Mode-constrained model-based-reinforcement learning in TensorFlow/GPflow
Gaussian processes in TensorFlow
Towards GPflow 1.0
Implementation of the COGP model
Implements AT-GP from Cao et. al. 2010 in GPflow
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