Sebastian Callh's repositories
neural-ode-weather-forecast
How to train a neural ODE for time series/weather forecasting
blog-spectral-mixture-kernel
Companion repository to blog post investigating spectral mixture kernels.
prob-ml-notebooks
Series of Pluto notebooks on machine learning from a Bayesian perspective
deep-markov-model
Implementation of a deep markov model in Pyro
master-thesis
Gaussian Processes for modeling motion patterns and making arrival time predictions
turing-sts
Structural time series in Turing
TuringTutorials
Educational material and tutorials for the Turing language
.doom.d
I declare .emacs.d bankrunpcy!
advent-of-code
My solutions to advent of code problems
BlockDiagonalMatrices.jl
Block diagonal matrices in Julia
ConjugatePriors.jl
A Julia package to support conjugate prior distributions.
DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
dvc-intro-presentation
Presentation on DVC, what problem it solves, and why it might be useful to you
GaussianProcesses.jl
A Julia package for Gaussian Processes
InferenceObjects.jl
Storage for results of Bayesian inference
julia-package-trends
A Bayesian analysis of download trends in the Julia package ecosystem
lux-deep-kernels
Deep kernel learning with Lux
nimbo-pytorch-setup
Example repo for demo purposes on how to work with nimbo and pytorch
pytorch-whirlwind-tour
A quick tour of PyTorch from taking gradients, to model training to deployment.
split-apply-combine-is-more-flexible-than-you-think
Companion repo to the blogpost with the same name.
turing-air-passengers
Implements a Propher-like model in Turing and uses it to forecast air passenger counts.
vaes
Implementation of VAEs with discrete latent structure
wine-ordinal-regression
Bayesian ordinal regression for predicting wine quality