wiseodd

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

probabilistic-models

Collection of probabilistic models and inference algorithms

natural-gradients

Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

last_layer_laplace

Last-layer Laplace approximation code examples

wiseodd.github.io

wiseodd's blog

lula

Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).

compound-density-networks

Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).

bayesian_ood_training

laplace-bayesopt

Laplace approximated BNN surrogate for BoTorch

lapeft-bayesopt

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

phd_thesis_template

rgpr

Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

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.

higher_order_invariance

Code for "Accelerating Natural Gradient with Higher-Order Invariance"

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

rust-playground

Trying out Rust and `tch-rs` (Rust binding for `libtorch`)

asdl

ASDL: Automatic Second-order Differentiation Library for PyTorch

curvlinops

scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch

laplace-redux

Laplace Redux -- Effortless Bayesian Deep Learning

molskill

Extracting medicinal chemistry intuition via preference machine learning

olympus

Olympus: a benchmarking framework for noisy optimization and experiment planning

PriorNetworks

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch-classification

Classification with PyTorch.

rustlings

synthetic_accessibility_project

Project files for synthetic accessibility project.

vim-paper

A light theme for (Neo)Vim, based on the colour of paper as found in various notebooks.

wiseodd

ziglings