manifold-learning

There are 12 repositories under manifold-learning topic.

haifengl / smile
Statistical Machine Intelligence & Learning Engine
machine-learning regression clustering manifold-learning nlp visualization classification nearest-neighbor-search interpolation wavelet graph linear-algebra computer-algebra-system multidimensional-scaling deep-learning statistics dataframe data-science genetic-algorithm
Language:Java 5932
JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
machine-learning vector-quantization som neural-networks unsupervised-learning manifold-learning self-organizing-map clustering outlier-detection dimensionality-reduction
Language:Python 1394
KrishnaswamyLab / PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
single-cell dimensionality-reduction data-visualization unsupervised-learning manifold-learning
Language:Python 453
nicola-decao / s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
pytorch vae variational-autoencoder von-mises-fisher machine-learning deep-learning manifold-learning hyperspherical-vae
Language:Python 337
cellrank
theislab / cellrank
CellRank: dynamics from multi-view single-cell data
bioinformatics cell-fate-determination cell-fate-transitions data-science fuzzy-clustering-analyses genetics machine-learning manifold-learning markov-chains rna-velocity single-cell-genomics single-cell-rna-seq trajectory-generation
Language:Python 305
johannbrehmer / manifold-flow
Manifold-learning flows (ℳ-flows)
notagan normalizing-flows manifold-learning density-estimation
Language:Jupyter Notebook 224
nicola-decao / s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
deep-learning hyperspherical-vae machine-learning manifold-learning tensorflow vae variational-autoencoder von-mises-fisher
Language:Python 219
drewwilimitis / Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
python manifold-learning dimensionality-reduction isomap multidimensional-scaling locally-linear-embedding spectral-embedding laplacian-eigenmaps
Language:Jupyter Notebook 202
dpeerlab / Palantir
Single cell trajectory detection
scrna-seq scrna-seq-analysis manifold-learning dimensionality-reduction diffusion-maps markov-chain differentiation single-cell-genomics trajectory-generation cell-fate-transitions
Language:Jupyter Notebook 195
tuanad121 / Python-WORLD
pitch python pycharm vae variational-autoencoder manifold-learning world-vocoder manifold-vocoder
Language:Python 145
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
dimensionality-reduction unsupervised-machine-learning pytorch-implementation manifold-learning
Language:Python 122
wildart / ManifoldLearning.jl
A Julia package for manifold learning and nonlinear dimensionality reduction
dimensionality-reduction manifold-learning julia isomap lle diffusion-maps
Language:Julia 92
davisidarta / topometry
Systematically learn and evaluate manifolds from high-dimensional data
clustering data-science data-visualization dimensionality-reduction graph graph-layout hypothesis-generation laplace-beltrami machine-learning manifold-learning scikit-learn single-cell visualization
Language:Python 87
hwalsuklee / tensorflow-mnist-AAE
Tensorflow implementation of adversarial auto-encoder for MNIST
tensorflow autoencoder adversarial-networks adversarial-autoencoders aae mnist vae gan manifold-learning manifold
Language:Python 86
gdkrmr / dimRed
A Framework for Dimensionality Reduction in R
dimensionality-reduction manifold-learning framework r visualization high-dimensional-data quality-control
Language:R 72
zhanglabtools / DSMO.course
Data Science and Matrix Optimization course
course-materials data-science manifold-alignment manifold-learning matrix-completion matrix-factorization precision-matrix-estimation subspace-clustering
68
layer6ai-labs / GSS
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
neurips image-retrieval manifold-learning gcn neurips-2019
Language:Python 65
kisungyou / Rdimtools
Dimension Reduction and Estimation Methods
manifold-learning dimension-reduction dimension-estimation subspace-learning r
Language:R 48
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
bci brain-computer-interface eeg electroencephalography geometric-deep-learning machine-learning manifold-learning transfer-learning unsupervised-domain-adaptation
Language:Python 42
caltech_birds
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.
classification-model pytorch-tutorial cub-200-2011 feature-attribution activation-maximization manifold-learning caltech-birds deep-neural-networks cnn image-classification deep-learning machine-learning pytorch
Language:Jupyter Notebook 41
FenghaoZhu / GMML
This is the code implementation for the GMML algorithm.
ai beamforming gradient manifold-learning meta-learning reconfigurable-intelligent-surfaces
Language:Python 41
katiana22 / GDM-PCE
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
uncertainty-quantification polynomial-chaos-expansion surrogate-modelling manifold-learning machine-learning encoder-decoder-model
Language:Jupyter Notebook 32
LavieLuo / DRMEA
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
domain-adaptation manifold-learning aaai2020
Language:Python 29
RubixML / Credit
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
analytics classification credit-card cross-validation data-science dataset example-project logistic-regression machine-learning machine-learning-tutorial manifold-learning monte-carlo-simulation php php-machine-learning php-ml pipeline risk-assessment rubix-ml t-sne tutorial
Language:PHP 27
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.
interactive-visualizations 3d-data embedded-data web-application manifold-learning non-linear-dimensionality-reduction high-dimensional-data
Language:HTML 25
caokai1073 / Pamona
The software of Pamona, a partial manifold alignment algorithm.
single-cell-omics optimal-transport transfer-learning manifold-learning data-integration
Language:Jupyter Notebook 19
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.
dynamic-mode-decomposition machine-learning manifold-learning dynamical-systems scientific-computing scikit-learn data-driven koopman-operator diffusion-map extended-dynamic-mode-decomposition time-series time-series-analysis
Language:Python 19
stat-ml / GeoMLE
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
intrinsic-dimension maximum-likelihood-estimation manifold-learning
Language:Jupyter Notebook 19
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.
autoencoder-neural-network deep-learning dimension-reduction dynamical-systems geometric-algorithms geometric-deep-learning latent-spaces machine-learning manifold-learning neural-networks parameterized-systems point-cloud pytorch-implementation topological-data-analysis variational-autoencoder
Language:TeX 18
JAVI897 / Laplacian-Eigenmaps
Implemented Laplacian Eigenmaps
dimensionality-reduction manifold-learning spectral-embedding laplacian-eigenmaps
Language:Jupyter Notebook 18
LirongWu / GCML
Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"
clustering manifold-learning visualization
Language:Python 18
LayneH / MRCNN
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
tensorflow transfer-learning convolutional-neural-networks manifold-learning fine-tune
Language:Python 17
techshot25 / Autoencoders
This will show how to make autoencoders using pytorch neural networks
autoencoder manifold-learning dimensionality-reduction pytorch-tutorials
Language:Jupyter Notebook 17
KevinMoonLab / GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
autoencoder data-visualization deep-learning dimensionality-reduction machine-learning manifold-learning unsupervised-learning
Language:Jupyter Notebook 16
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.
aaai aaai2021 auto-encoder dimensionality dimensionality-reduction lstm manifold-learning model-order-reduction rank reduced-order-models rnn rom svd
Language:Jupyter Notebook 16
evanseitz / ManifoldEM_Python
ManifoldEM Python suite
biomolecule cryo-em embedding free-energy kernel-methods machine-learning manifold-learning manifoldem quantitative-biology spectral-methods
Language:Python 15