manifold-learning | Topic | Ecosyste.ms: Repos

Topic: "manifold-learning"

haifengl/smile

Statistical Machine Intelligence & Learning Engine

Language: Java - Size: 245 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 6,193 - Forks: 1,141

JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Language: Python - Size: 19.1 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1,518 - Forks: 439

KrishnaswamyLab/PHATE

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

Language: Python - Size: 142 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 500 - Forks: 78

theislab/cellrank

CellRank: dynamics from multi-view single-cell data

Language: Python - Size: 95 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 387 - Forks: 50

nicola-decao/s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Language: Python - Size: 27.3 KB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 352 - Forks: 58

dpeerlab/Palantir

Single cell trajectory detection

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 5 days ago - Pushed at: 15 days ago - Stars: 251 - Forks: 54

drewwilimitis/Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Language: Jupyter Notebook - Size: 140 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 232 - Forks: 39

johannbrehmer/manifold-flow

Manifold-learning flows (ℳ-flows)

Language: Jupyter Notebook - Size: 639 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 229 - Forks: 27

nicola-decao/s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 219 - Forks: 41

tuanad121/Python-WORLD

Language: Python - Size: 14.9 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 152 - Forks: 32

naver/tldr

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

Language: Python - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 124 - Forks: 3

TorchDR/TorchDR

TorchDR - PyTorch Dimensionality Reduction

Language: Python - Size: 5.49 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 109 - Forks: 10

davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

Language: Python - Size: 659 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 97 - Forks: 4

wildart/ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

Language: Julia - Size: 3.5 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 93 - Forks: 22

hwalsuklee/tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

Language: Python - Size: 1.34 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 87 - Forks: 27

gdkrmr/dimRed

A Framework for Dimensionality Reduction in R

Language: R - Size: 62.5 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 73 - Forks: 16

zhanglabtools/DSMO.course

Data Science and Matrix Optimization course

Size: 48.1 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 66 - Forks: 37

layer6ai-labs/GSS

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

Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 65 - Forks: 7

pchlenski/manify

Generate graph/data embeddings multiple ways

Language: Jupyter Notebook - Size: 236 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 53 - Forks: 6

kisungyou/Rdimtools

Dimension Reduction and Estimation Methods

Language: R - Size: 90.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 52 - Forks: 10

A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic data

Language: R - Size: 23.5 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 49 - Forks: 5

ecm200/caltech_birds

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Language: Jupyter Notebook - Size: 282 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 45 - Forks: 10

FenghaoZhu/GMML

This is the code implementation for the GMML algorithm.

Language: Python - Size: 16.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 43 - Forks: 10

RubixML/Credit

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

Language: PHP - Size: 1.76 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 12

datafold-dev/datafold

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

Language: Python - Size: 8.85 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 30 - Forks: 3

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.

Language: TeX - Size: 29.7 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 29 - Forks: 1

NLeSC/DiVE

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Embed-Dive.

Language: HTML - Size: 119 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 25 - Forks: 6

katiana22/GDM-PCE

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

Language: Jupyter Notebook - Size: 55.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 5

rkobler/TSMNet

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Language: Python - Size: 63.5 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 2

LirongWu/GCML

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

Language: Python - Size: 49.7 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 7

stat-ml/GeoMLE

This repo contains code for GeoMLE intrinsic dimension estimation algorithm

Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 20 - Forks: 3

caokai1073/Pamona

The software of Pamona, a partial manifold alignment algorithm.

Language: Jupyter Notebook - Size: 41.4 MB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 3

chiggum/pyLDLE2

Implementation of Low Distortion Local Eigenmaps and several variations of it

Language: Python - Size: 783 MB - Last synced at: 25 days ago - Pushed at: 7 months ago - Stars: 17 - Forks: 1

LavieLuo/DRMEA

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

Language: Python - Size: 24.4 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 8

techshot25/Autoencoders

This will show how to make autoencoders using pytorch neural networks

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 8

LayneH/MRCNN

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 17 - Forks: 5

rmojgani/PhysicsAwareAE

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Language: Jupyter Notebook - Size: 56.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 4

evanseitz/ManifoldEM_Python

ManifoldEM Python suite

Language: Python - Size: 27.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 15 - Forks: 3

michael-psenka/manifold-linearization

Companion repository for the paper "Representation Learning via Manifold Flattening and Reconstruction"

Language: Jupyter Notebook - Size: 328 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 15 - Forks: 2

JAVI897/Laplacian-Eigenmaps

Implemented Laplacian Eigenmaps

Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 5

mdeff/dlaudio

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

Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 6

facusapienza21/Fermat-distance

We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution

Language: Python - Size: 1.81 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 3

KevinMoonLab/GRAE

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 6

GitWR/SymNet

This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Language: MATLAB - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 4

0xshreyash/tsne-lib

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

Language: Python - Size: 3.99 MB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 0

ChenLiu-1996/DiffusionSpectralEntropy

[ICMLW 2023, IEEE CISS 2024] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Language: Python - Size: 47.9 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 11 - Forks: 1

igreat/animations

Here is where I will put all the code I use to generate my explanatory videos!

Language: Python - Size: 17.1 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

rafcc/pytorch-bsf

PyTorch implementation of Bezier simplex fitting

Language: Python - Size: 7.12 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 4

Pressio/pressio4py

Python bindings to pressio

Language: C++ - Size: 6.89 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

gmishne/DiffusionNet

Diffusion Net TensorFlow implementation

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 4

gdkrmr/coRanking

Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions

Language: R - Size: 83.7 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 9 - Forks: 2

LirongWu/DCV

Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"

Language: Python - Size: 12.7 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

GeodAIsics/TractLearn-WholeBrain

TractLearn is a Manifold Learning Toolbox for precision medicine. The first application is for Diffusion-Weighted MRI quantitative analysis.

Language: Python - Size: 117 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1

LUK4S-B/IsUMap

IsUMap is a tool for manifold learning, dimension reduction and data visualization

Language: Python - Size: 675 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 2

ekorman/neurve

topological deep learning

Language: Python - Size: 30.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 1

gmishne/diffusion_maps

Matlab implementation of Diffusion Maps

Language: Matlab - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 1

ttgump/scDHMap

Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 2

peterparity/conservation-laws-manifold-learning

Discovering Conservation Laws using Optimal Transport and Manifold Learning

Language: Jupyter Notebook - Size: 14 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 3

psuarezserrato/aprendizaje-geometrico

Materiales del Curso Aprendizaje Geométrico Profundo, Posgrado Matemáticas UNAM 2023-1

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

GitWR/MRMML-v1.0

A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)

Language: MATLAB - Size: 1.74 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

KrishnaswamyLab/HeatGeo

Embedding with the Heat-geodesic dissimilarity

Language: Jupyter Notebook - Size: 40.9 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 6 - Forks: 0

evanseitz/ManifoldEM_ESPER

Software implementation for paper Heuristic Analysis of Manifolds from Simulated Cryo-EM Ensemble Data

Language: Python - Size: 267 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

nrohani/ISCMF

ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

Language: Python - Size: 4.35 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 6

GitWR/MMML

MMML-ICPR‘18

Language: MATLAB - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

zjxi/Manifold-Learning-Algorithms

Implementation and visualization of 4 frequently used manifold learning algorithms (四种流形学习算法的实现及可视化)

Language: Python - Size: 9.56 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 1

sonjageorgievska/Embed-Dive

A tool that performs 3D embedding of data and provides interactive visualization.

Language: JavaScript - Size: 879 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 0

arasgungore/multiclass-classification-using-ensemble-learning

Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

Westlake-AI/inv-ML

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

Language: Python - Size: 8.2 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

katiana22/GrassmannianEGO

Source code of "Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids".

Language: Roff - Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

JoshuaHess12/miaaim-python

MIAAIM: Multi-omics Image Alignment and Analysis by Information Manifolds

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

Mayurji/N2D-Pytorch

Pytorch Implementation of N2D(Not Too Deep) Clustering: Using deep clustering and manifold learning to perform unsupervised learning of image clustering.

Language: Python - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 3

gmishne/pyquest Fork of hgfalling/pyquest

pyquest: diffusion analysis of transposable arrays

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 3

league1991/Color-Picker

A Color Picker based on manifold learning. The algorighm is the same as the "SOM-ColorManifolds" repository.

Language: C++ - Size: 366 KB - Last synced at: 7 months ago - Pushed at: over 8 years ago - Stars: 5 - Forks: 2

andrewssobral/manopt

A Matlab toolbox for optimization on manifolds (by Boumal and Mishra)

Language: Matlab - Size: 256 KB - Last synced at: about 2 months ago - Pushed at: over 8 years ago - Stars: 5 - Forks: 4

JAVI897/LLE-and-its-variants

Implemented Locally Linear Embedding algorithm and some variants of LLE

Language: Jupyter Notebook - Size: 8.13 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

MaayanLab/Graph-DR

Benchmarks of dimensionality reduction algorithms

Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3

markolalovic/metric-graph-reconstruction

Reconstructing the topology of a metric graph

Language: Python - Size: 6.46 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

Cinofix/graph-kernel-manifold-learning

Assignment for the course of Artificial Intelligence: Knowledge Representation and Planning

Language: Jupyter Notebook - Size: 5.3 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

julianbuerge/neural_geodesic_flows

time series prediction with a learnable geodesic flow

Language: Python - Size: 61.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0

StatBiomed/SNPmanifold

Manifold learning for single-cell single-nucleotide genetic variations

Language: Jupyter Notebook - Size: 389 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0

KevinMoonLab/RF-PHATE

Supervised visualization of high-dimensional data using random forests

Size: 196 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

mgroupntua/MSolve.MachineLearning

Machine learning library containing algorithms for data analysis, statistical modelling, inference and pattern recognition

Language: C# - Size: 51.8 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

bghojogh/Quantile-Quantile-Embedding

The code for Quantile-Quantile Embedding (QQE).

Language: Python - Size: 3.52 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

ivallesp/somnium

Model explainability and high dimensional visualisation library for Python based on Self-Organising-Maps

Language: Python - Size: 2.53 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

jasonfilippou/DimReduce

Implementations of 3 linear and non-linear dimensionality reduction algorithms

Language: Python - Size: 48.3 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

chenghao-ch94/Towards-Generalized-and-Efficient-Metric-Learning-on-Riemannian-Manifold

Matlab Code for this paper of IJCAI 2018

Language: MATLAB - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

ManuSetty/Palantir 📦

Single cell trajectory detection

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

calebgeniesse/reciprocal_isomap

A reciprocal variant of Isomap for robust non-linear dimensionality reduction in Python

Language: Python - Size: 2.94 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0

jlmelville/flotsam

An R package implementing the Local Tangent Space Alignment manifold learning method.

Language: R - Size: 4.43 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

GVourvachakis/Gamma_distribution_aware_MDS-based_heuristic_algorithm

A Distribution Aware MDS-based Heuristic Algorithm for Large-Scale Data Dimensionality Reduction

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1

nurlicht/Volumetric-3D-Stitching

Filling the 3D 'scattering volume' by appropriately-oriented 2D scattering patterns. An analytical model suggests a numerical procedure (using Diffusion Map and the fisrt 9 non-trivial eigenvectors). The Matlab code here 1) synthesizes 2D scattering patterns; 2) Forms the Distance Matrix of mimages; and 3) retrieves the (relative) orientations using the DIstance Matrix.

Language: Python - Size: 188 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0