Contents
autoencoder
Variational Autoencoder: learning an underlying distribution and generating new data • Oct 7, 2022
Autoencoder represents a multi-dimensional smooth function • Jun 10, 2022
basics
Variational Autoencoder: learning an underlying distribution and generating new data • Oct 7, 2022
Autoencoder represents a multi-dimensional smooth function • Jun 10, 2022
Ground-up construction of a simple neural network • Mar 22, 2022
Understanding how basic linear NNs handle non-linearities • Mar 18, 2022
bayesian
Gaussian Processes: modelling correlated noise in a dataset • Oct 17, 2022
Understanding how basic linear NNs handle non-linearities • Mar 18, 2022
diffusion
Intro to diffusion models from scratch • Jan 19, 2023
Conditioning diffusion models • Jan 19, 2023
gaussian_processes
Rotation curve decompositions with Gaussian Processes: taking into account data correlations leads to unbiased results • Nov 2, 2022
Gaussian Processes: modelling correlated noise in a dataset • Oct 17, 2022
jupyter
Intro to diffusion models from scratch • Jan 19, 2023
Conditioning diffusion models • Jan 19, 2023
`vcdisk`: a python package for galaxy rotation curves • Dec 8, 2022
A simple neural network to predict galaxy rotation curves from photometry • Nov 16, 2022
Gaussian Processes: modelling correlated noise in a dataset • Oct 17, 2022
Variational Autoencoder: learning an underlying distribution and generating new data • Oct 7, 2022
Autoencoder represents a multi-dimensional smooth function • Jun 10, 2022
Ground-up construction of a simple neural network • Mar 22, 2022
Understanding how basic linear NNs handle non-linearities • Mar 18, 2022
MCMC
Understanding how basic linear NNs handle non-linearities • Mar 18, 2022
neural network
Intro to diffusion models from scratch • Jan 19, 2023
Conditioning diffusion models • Jan 19, 2023
neural_network
A simple neural network to predict galaxy rotation curves from photometry • Nov 16, 2022
Variational Autoencoder: learning an underlying distribution and generating new data • Oct 7, 2022
Autoencoder represents a multi-dimensional smooth function • Jun 10, 2022
Ground-up construction of a simple neural network • Mar 22, 2022
Understanding how basic linear NNs handle non-linearities • Mar 18, 2022
variational autoencoder
Variational Autoencoder: learning an underlying distribution and generating new data • Oct 7, 2022
vcdisk
`vcdisk`: a python package for galaxy rotation curves • Dec 8, 2022