Agustinus Kristiadi (wiseodd)

wiseodd

Geek Repo

Company:Vector Institute

Location:Toronto

Home Page:https://agustinus.kristia.de

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Organizations
MethodsOfMachineLearning

Agustinus Kristiadi's repositories

generative-models

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

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last_layer_laplace

Last-layer Laplace approximation code examples

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wiseodd.github.io

wiseodd's blog

lula

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

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compound-density-networks

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

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lapeft-bayesopt

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

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pub-ready-plots

Agustinus' very opiniated publication-ready plotting library

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laplace-bayesopt

Laplace approximated BNN surrogate for BoTorch

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rgpr

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

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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.

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nanoGPT

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

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rust-playground

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

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rustlox

Lox interpreter in Rust

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asdl

ASDL: Automatic Second-order Differentiation Library for PyTorch

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curvlinops

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

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kickstart.nvim

A launch point for your personal nvim configuration

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laplace-redux

Laplace Redux -- Effortless Bayesian Deep Learning

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molskill

Extracting medicinal chemistry intuition via preference machine learning

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olympus

Olympus: a benchmarking framework for noisy optimization and experiment planning

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PyHessian

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

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pytorch-classification

Classification with PyTorch.

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synthetic_accessibility_project

Project files for synthetic accessibility project.

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turm

TUI for the Slurm Workload Manager

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vim-paper

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

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