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19 search results found

Minisom ⭐ 1,339

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

Cellrank ⭐ 279

CellRank: dynamics from multi-view single-cell data

S Vae Pytorch ⭐ 214

Pytorch implementation of Hyperspherical Variational Auto-Encoders

S Vae Tf ⭐ 178

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Python World ⭐ 143

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

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Tensorflow Mnist Aae ⭐ 65

Tensorflow implementation of adversarial auto-encoder for MNIST

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

Manifold Learning ⭐ 31

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Datafold ⭐ 14

Extended Dynamic Mode Decomposition to extract analytical and predictive from time series data (with dictionary learning, control and streaming options) . Diffusion Maps to extract geometric description from data.

Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

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

Manifoldem_python ⭐ 8

ManifoldEM Python suite

Pytorch Bsf ⭐ 7

PyTorch implementation of Bezier simplex fitting

Pressio4py ⭐ 6

Python bindings to pressio

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