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pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorchpytorch-energy-based-model
Simple illustrative examples for energy-based models in PyTorchnormalized-autoencoders
The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).kias-hyu-diffusion-tutorial-2023
projsplx
A pure Numpy implementation of the simplex projection algorithm presented in (Chen and Ye, 2011)aaai2021-scene-graph-img-retr
outlier-reconstruction
Web demo for outlier reconstruction phenomenon of autoencodersvariationally-weighted-kernel-density-estimation
manifold-projection-diffusion-recovery-pytorch
DiRect
A Python implementation of DiRect, an unconstrained global optimization algorithm by Jones, Perttunen, and Stuckman (1993).pytorch-glow-that-works
BCTJV-GP-Tutorial
A Gaussian Process Tutorial @BCTJVtutorial-comparing-distributions
A tutorial on various divergence measures. Originally for the rookie seminar of Biointelligence Laboratory.image-retrieval
evaluation-via-generation
Official repository of <Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers>.Love Open Source and this site? Check out how you can help us