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Source Filter Vae ⭐ 42

Learning and controlling the source-filter representation of speech with a variational autoencoder

Deeptangle ⭐ 33

Code implementation of the detection network capable of dealing with many overlapping spline bodies.

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

A deep learning architecture for robust inference and accurate prediction of cellular dynamics

LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Stablefused ⭐ 12

StableFused is a toy library for experimenting with Diffusion Models, inspired by various sources.

These People Do Not Exist ⭐ 6

AI that generates human faces which have never been seen before. The future is now 😁

Ml Tool Wear ⭐ 5

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

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