Wessel

stheno. Gaussian process modelling in Python

neuralprocesses. A framework for composing Neural Processes in Python

lab. A generic interface for linear algebra backends

NeuralProcesses.jl. A framework for composing Neural Processes in Julia

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

oilmm. Implementation of the Orthogonal Instantaneous Linear Mixing Model

wbml. Machine learning stuff

phd-thesis-convcnps. LaTeX source for my PhD thesis Convolutional Conditional Neural Processes

algebra. Algebraic structures

olmm. Reference implementation of the Orthogonal Linear Mixing Model

aws. Manage AWS EC2 instances for experiments

gpar-olmm. Implementation of the GPAR-OLMM

anki-english. Python

psa. Predictable subspace analysis

cgpcm. Causal Gaussian Process Convolution Model

laptop. Laptop

wesselb.github.io. Thoughts on machine learning and other topics

ModelBasedMetricEstimation.jl. Julia