manifold-learning topic

List manifold-learning repositories

ManifoldLearning.jl

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A Julia package for manifold learning and nonlinear dimensionality reduction

tldr

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TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

tensorflow-mnist-AAE

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Tensorflow implementation of adversarial auto-encoder for MNIST

GSS

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Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

DSMO.course

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Data Science and Matrix Optimization course

GDM-PCE

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Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

DRMEA

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Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).

Credit

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An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

dlaudio

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Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)