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manifold-learning

Here are 5 public repositories matching this topic...

gd-vae / gd-vae

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.

machine-learning deep-learning point-cloud neural-networks dynamical-systems manifold-learning dimension-reduction geometric-algorithms topological-data-analysis variational-autoencoder parameterized-systems geometric-deep-learning pytorch-implementation autoencoder-neural-network latent-spaces

Updated Aug 30, 2023
TeX

adamguos / arma-grassmann-classifier

Classifies time series data using ARMA modelling and kernel techniques on the Grassmann manifold

time-series classification manifold-learning time-series-classification

Updated Sep 16, 2020
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kokoff / mlap

Machiene Learning and Application module open assessment

machine-learning hidden-markov-model manifold-learning em-algorithm

Updated May 9, 2017
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Oliver-Binns / MLAP

Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.

machine-learning expectation-maximization manifold expectation-maximization-algorithm manifold-learning em-algorithm isomap lpp

Updated Mar 14, 2018
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ravijo / HSI2020

This repository contains source code, data and paper submitted to HSI2020

baxter-robot manifold-learning baxter hsi wheelchair-control mrd whill ieee-conference clothing-assistance dressing-assistance electric-wheelchair wheelchair-robot-control

Updated Apr 18, 2020
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