Towards GPflow 1.0
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Sep 21, 2017 - HTML
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gpflow
Here are 23 public repositories matching this topic...
Mode-constrained model-based-reinforcement learning in TensorFlow/GPflow
python machine-learning reinforcement-learning bayesian-inference gaussian-processes variational-inference gpflow tensorflow2
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Dec 8, 2025 - Python
Implementation of the COGP model
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Dec 31, 2017 - Jupyter Notebook
Implements AT-GP from Cao et. al. 2010 in GPflow
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Jul 24, 2018 - Python
Study of Gaussian Process (GP) local and global approximations, and application of the sparse GP approximation, combining both the global and local approaches.
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Mar 26, 2023 - Python
Gaussian processes in TensorFlow
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Aug 7, 2017 - Python
Subset of Data Variational Inference for Deep Gaussian Process Model
tensorflow probabilistic-programming deeplearning bayesian-inference variational-inference probabilistic-graphical-models gpflow
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Sep 29, 2021 - Python
LaTeX code for my PhD thesis.
machine-learning latex neuroimaging fmri gaussian-processes connectome latex-thesis functional-connectivity gpflow network-neuroscience time-varying-connectivity dynamic-functional-connectivity wishart-processes fcest mgarch
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Apr 19, 2024 - TeX
Gaussian-Processes Surrogate Optimisation in python
neuroscience python3 gaussian-processes optimisation neuroscience-methods bayesian-optimisation gpflow space-partition-tree gaussian-processes-surrogate scale-biophysical-models partition-tree brainweb
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May 18, 2021 - Python
Methods for estimating time-varying functional connectivity (TVFC)
python machine-learning neuroimaging fmri gaussian-processes nilearn sliding-windows connectome brain-connectivity functional-connectivity gpflow network-neuroscience time-varying-connectivity dynamic-functional-connectivity wishart-processes dynamic-conditional-correlation fcest mgarch
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May 24, 2024 - Python
📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2
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Jun 16, 2020 - Python
Sparse Heteroscedastic Gaussian Processes
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Oct 8, 2021 - Python
Interactive Gaussian Processes
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Jul 19, 2019 - Jupyter Notebook
Jupyter Notebooks Tutorials on Gaussian Processes
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May 30, 2024 - Jupyter Notebook
Actually Sparse Variational Gaussian Processes implemented in GPlow
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Aug 9, 2023 - Python
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
python optimization mpi distributed-computing distributed evolutionary-algorithms mpi-applications multiobjective-optimization mpi4py nsga2 cmaes evolution-strategies gpflow gaussian-process trust-region smpso gpytorch surrogate-optimization
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Nov 9, 2025 - Python
Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"
machine-learning cheminformatics pytorch artificial-intelligence uncertainty-neural-networks rdkit gpflow gnn tensorflow2 mordred selectivenet deep-ensemble pfas-toxicity ld50
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Apr 24, 2023 - Jupyter Notebook
Non-stationary spectral mixture kernels implemented in GPflow
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Nov 30, 2018 - Python
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
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Feb 11, 2024 - Python
Library for Deep Gaussian Processes based on GPflow
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Mar 31, 2020 - Python
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