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GitHub topics: diffusion-maps

dpeerlab/Palantir

Single cell trajectory detection

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 1 day ago - Pushed at: 9 days ago - Stars: 254 - Forks: 54

theislab/destiny

R package for single cell and other data analysis using diffusion maps

Language: R - Size: 20.9 MB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 88 - Forks: 13

muscbridge/PyDesigner

A hands-free DTI, DKI, FBI and FBWM preprocessing pipeline. Information on algorithms and preprocessing steps are available at https://www.biorxiv.org/content/10.1101/2021.10.20.465189v1 A video tutorial on PyDesigner and its usage is now available at https://www.youtube.com/watch?v=mChQFuQqX3k

Language: Python - Size: 47.8 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 29 - Forks: 7

sgh14/deep-diffusion-maps

A novel implementation of diffusion maps using deep learning (neural networks).

Language: Python - Size: 15.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

wildart/ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

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

rezakj/iCellR

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

Language: R - Size: 68.2 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 122 - Forks: 19

alan-turing-institute/ThermodynamicAnalyticsToolkit

Sampling-based approach to analyse neural networks using TensorFlow

Language: Python - Size: 13.7 MB - Last synced at: 3 days ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 3

HaneWall/Manyfold.jl

Manifold Learning via Diffusion Maps in Julia

Language: Julia - Size: 1.01 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sivadasetty/dMap_JAX

Diffusions maps using JAX

Language: Python - Size: 11.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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: almost 2 years ago - Stars: 7 - Forks: 3

dimkastan/PyTorch-Spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

Language: Python - Size: 820 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 158 - Forks: 14

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

inespancorbo/Statistical-Computing

Mainly Non-Theory (Coding) Homework; Mainly Python

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

gmishne/InformedGeometry-CoupledPendulum Fork of oryair/InformedGeometry-CoupledPendulum

Language: Matlab - Size: 524 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 1

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

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

bogdantoader/ManifoldLearningInPlatosCave

Numerical experiments showing artifacts resulting from dimensionality reduction.

Language: Jupyter Notebook - Size: 117 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jwu4sml/Graph-Embedding-Techniques

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

Size: 104 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 31 - Forks: 11

jmbr/diffusion-maps 📦

Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps

Language: Python - Size: 230 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 37 - Forks: 6

abt8601/diffusion-maps 📦

A library for diffusion maps (Numerical software development project)

Language: C++ - Size: 132 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - 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

sampolk/DiffusionLearning

This toolbox allows the implementation of the following diffusion-based clustering algorithms on synthetic and real datasets.

Language: MATLAB - Size: 5.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rxlacroix/cisteRcians

Diffusion map of cistercian abbeys

Language: R - Size: 2.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

CompleteBlenderCreator/07.Game.Asset.Pack-Original

(GA_CBC) http://gdev.tv/cbcgithub

Size: 180 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

michellefli/cell-diff-reu-2018

Language: R - Size: 59.7 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Related Keywords
diffusion-maps 25 dimensionality-reduction 11 manifold-learning 11 clustering 4 machine-learning 4 scrna-seq 3 jax 2 3d 2 tensor-decomposition 2 matlab 2 neural-networks 2 hierarchical-clustering 2 bi-clustering 2 cell-fate-transitions 2 trajectory-generation 2 single-cell-genomics 2 markov-chain 2 differentiation 2 tsne 1 python3 1 module 1 rare-category-detection 1 random-walk 1 node-classification 1 message-passing 1 link-prediction 1 graph-neural-networks 1 graph-kernels 1 graph-embedding 1 graph-classification 1 community-detection 1 single-cell-analysis 1 tree-algorithms 1 single-cell-rna-seq 1 applications 1 bayesian-networks 1 stochastic-processes 1 sampling-methods 1 queueing-models 1 expectation-maximization-algorithm 1 brownian-motion 1 principal-component-analysis 1 cell-differentiation 1 uv-mapping 1 game-development 1 game-dev 1 game-assets 1 displacement-map 1 datablock 1 blender-3d 1 blender 1 blend-files 1 3d-printing 1 3d-models 1 3d-modelling 1 religion 1 history 1 historical-maps 1 dataviz 1 spectral-clustering 1 hyperspectral-imaging 1 hyperspectral-images 1 hyperspectral-image-classification 1 hyperspectral-image-analysis 1 graph-algorithms 1 tensorflow 1 outlier-detection 1 autoencoder 1 anomaly-detection 1 manifold-learing 1 singel-cell-sequencing 1 scvdj-seq 1 pseudotime 1 normalization 1 intractive-graph 1 imputation 1 icellr 1 dropout 1 clustering-algorithm 1 cite-seq 1 cell-type-classification 1 batch-normalization 1 10xgenomics 1 lle 1 julia 1 isomap 1 deep-learning 1 deep-diffusion-maps 1 tractography 1 kurtosis 1 dwi 1 dmriprep 1 dmri 1 diffusion-preprocessing 1 diffusion-mri 1 r 1 scrna-seq-analysis 1 entropy 1 sorting-distance-matrix 1 pytorch-tutorial 1