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stheno
Gaussian process modelling in Pythonneuralprocesses
A framework for composing Neural Processes in PythonNeuralProcesses.jl
A framework for composing Neural Processes in Julialab
A generic interface for linear algebra backendsgpar
Implementation of the Gaussian Process Autoregressive Regression Modelvarz
Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAXfdm
Estimate derivatives with finite differencesmlkernels
Kernels, the machine learning onesmatrix
Structured matricesoilmm
Implementation of the Orthogonal Instantaneous Linear Mixing Modelgpcm
Implementation of the GPCM and variationsprobmods
An interface to facilitate rapid development and deployment of probabilistic modelsphd-thesis-convcnps
LaTeX source for my PhD thesis Convolutional Conditional Neural Processesalgebra
Algebraic structuresolmm
Reference implementation of the Orthogonal Linear Mixing Modelaws
Manage AWS EC2 instances for experimentsModelBasedMetricEstimation.jl
wesselb.github.io
Thoughts on machine learning and other topicslaptop
Laptoppsa
Predictable subspace analysiscgpcm
Causal Gaussian Process Convolution Modelanki-english
gpar-olmm
Implementation of the GPAR-OLMMLove Open Source and this site? Check out how you can help us