Agustinus Kristiadi's repositories
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
last_layer_laplace
Last-layer Laplace approximation code examples
wiseodd.github.io
wiseodd's blog
compound-density-networks
Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).
lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
pub-ready-plots
Agustinus' very opiniated publication-ready plotting library
laplace-bayesopt
Laplace approximated BNN surrogate for BoTorch
two-funds-rebalancer
Given your current portfolio value, desired allocation after rebalancing, and the amount of cash you have, this script will output how much of your cash should be used to buy stock/bonds (in percent). Only works for portfolios with two funds, e.g. the Couch Potato and classic two-funds 60-40 portfolios.
rust-playground
Trying out Rust and `tch-rs` (Rust binding for `libtorch`)
rustlox
Lox interpreter in Rust
curvlinops
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
kickstart.nvim
A launch point for your personal nvim configuration
laplace-redux
Laplace Redux -- Effortless Bayesian Deep Learning
pytorch-classification
Classification with PyTorch.
synthetic_accessibility_project
Project files for synthetic accessibility project.
turm
TUI for the Slurm Workload Manager