wesselb/phd-thesis-convcnps

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wesselb/phd-thesis-convcnps

wesselb

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LaTeX source for my PhD thesis Convolutional Conditional Neural Processes

stheno

Gaussian process modelling in Python

neuralprocesses

A framework for composing Neural Processes in Python

NeuralProcesses.jl

A framework for composing Neural Processes in Julia

lab

A generic interface for linear algebra backends

gpar

Implementation of the Gaussian Process Autoregressive Regression Model

varz

Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX

fdm

Estimate derivatives with finite differences

mlkernels

Kernels, the machine learning ones

matrix

Structured matrices

oilmm

Implementation of the Orthogonal Instantaneous Linear Mixing Model

gpcm

Implementation of the GPCM and variations

wbml

Machine learning stuff

probmods

An interface to facilitate rapid development and deployment of probabilistic models

algebra

Algebraic structures

olmm

Reference implementation of the Orthogonal Linear Mixing Model

aws

Manage AWS EC2 instances for experiments

ModelBasedMetricEstimation.jl

wesselb.github.io

Thoughts on machine learning and other topics

laptop

psa

Predictable subspace analysis

cgpcm

Causal Gaussian Process Convolution Model

anki-english

gpar-olmm

Implementation of the GPAR-OLMM