swyoon/tutorial-comparing-distributions

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swyoon/tutorial-comparing-distributions

swyoon

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A tutorial on various divergence measures. Originally for the rookie seminar of Biointelligence Laboratory.

pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

Jupyter Notebook

pytorch-energy-based-model

Simple illustrative examples for energy-based models in PyTorch

normalized-autoencoders

The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).

Jupyter Notebook

kias-hyu-diffusion-tutorial-2023

Jupyter Notebook

MLConfCrawl

crawling papers from prestigious ml conferences

projsplx

A pure Numpy implementation of the simplex projection algorithm presented in (Chen and Ye, 2011)

Jupyter Notebook

aaai2021-scene-graph-img-retr

Jupyter Notebook

outlier-reconstruction

Web demo for outlier reconstruction phenomenon of autoencoders

Jupyter Notebook

variationally-weighted-kernel-density-estimation

manifold-projection-diffusion-recovery-pytorch

Jupyter Notebook

DiRect

A Python implementation of DiRect, an unconstrained global optimization algorithm by Jones, Perttunen, and Stuckman (1993).

Jupyter Notebook

pytorch-glow-that-works

BCTJV-GP-Tutorial

A Gaussian Process Tutorial @BCTJV

Jupyter Notebook

image-retrieval

Jupyter Notebook

evaluation-via-generation

Official repository of <Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers>.

Jupyter Notebook