TorchDR/TorchDR

TorchDR - PyTorch Dimensionality Reduction

Language: Python - Size: 5.57 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 130 - Forks: 11

pchlenski/manify

Generate graph/data embeddings multiple ways

Language: Jupyter Notebook - Size: 239 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 54 - Forks: 6

haifengl/smile

Statistical Machine Intelligence & Learning Engine

Language: Java - Size: 246 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 6,196 - Forks: 1,140

dpeerlab/Palantir

Single cell trajectory detection

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 255 - Forks: 54

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: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0

ZJUFanLab/scRank

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: 6 days ago - Pushed at: 20 days ago - Stars: 49 - Forks: 5

davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

Language: Python - Size: 659 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 99 - Forks: 5

chiggum/pyLDLE2

Implementation of Low Distortion Local Eigenmaps and several variations of it

Language: Python - Size: 783 MB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 18 - Forks: 1

julianbuerge/neural_geodesic_flows

time series prediction with a learnable geodesic flow

Language: Python - Size: 61.3 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 3 - Forks: 0

JustGlowing/minisom

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

Language: Python - Size: 19.1 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 1,518 - Forks: 439

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: 7 days ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 12

theislab/cellrank

CellRank: dynamics from multi-view single-cell data

Language: Python - Size: 95 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 387 - Forks: 50

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: about 1 month ago - Pushed at: 2 months ago - Stars: 500 - Forks: 78

Westlake-AI/inv-ML

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

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

StatBiomed/SNPmanifold

Manifold learning for single-cell single-nucleotide genetic variations

Language: Jupyter Notebook - Size: 389 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

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 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: 6 days ago - Pushed at: 6 months ago - Stars: 11 - Forks: 1

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 29 - 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 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 2

gdkrmr/dimRed

A Framework for Dimensionality Reduction in R

Language: R - Size: 62.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 73 - Forks: 16

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: about 2 months ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 7

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

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: 2 days ago - Pushed at: 4 months ago - Stars: 45 - Forks: 10

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: 3 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

tuanad121/Python-WORLD

Language: Python - Size: 14.9 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 152 - Forks: 32

rafcc/pytorch-bsf

PyTorch implementation of Bezier simplex fitting

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

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 2 months ago - Pushed at: over 5 years ago - Stars: 232 - Forks: 39

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: 22 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

jlmelville/flotsam

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

Language: R - Size: 4.43 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

stat-ml/GeoMLE

This repo contains code for GeoMLE intrinsic dimension estimation algorithm

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

lorenzobagnol/RepresentationLearning

SOM network modified in order to control the latent space

Language: Python - Size: 54.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 10 months ago - Stars: 30 - Forks: 3

QuantLet/LLE Fork of lizzzi111/LLE

Locally Linear Embeddings

Language: Jupyter Notebook - Size: 63.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 5

renjun0324/MGPfactR

A model-based, unsupervised manifold learning method that factors complex cellular trajectories into interpretable bifurcating Gaussian processes of transcription.

Language: R - Size: 8.53 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

gdkrmr/coRanking

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

Language: R - Size: 83.7 MB - Last synced at: 25 days ago - Pushed at: 9 months ago - Stars: 9 - Forks: 2

eladlavi29/EMD-HDD

Python implementation of EMD-HDD, a hierarchical embedding and distance recovery method using earth movers' distance, hyperbolic geometry diffusion geometry designed for hyperspectral imaging.

Language: Python - Size: 17.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: about 3 years ago - Stars: 124 - Forks: 3

hwalsuklee/tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

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

johannbrehmer/manifold-flow

Manifold-learning flows (ℳ-flows)

Language: Jupyter Notebook - Size: 639 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 229 - Forks: 27

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 2 months ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 1

ffancheng/kderm

Distortion-corrected kernel density estimate on Riemannian manifolds

Language: HTML - Size: 357 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

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

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

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: over 5 years ago - Stars: 352 - Forks: 58

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

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: 8 days ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 6

guillaumehu/torchheat

Diffusion based distances in torch

Language: Python - Size: 16.6 KB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

PaccMann/paccmann_polymer

Graph-regularized VAE and the impact of topology on learned representations

Language: Python - Size: 77.1 KB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

KrishnaswamyLab/HeatGeo

Embedding with the Heat-geodesic dissimilarity

Language: Jupyter Notebook - Size: 40.9 MB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 6 - Forks: 0

kisungyou/Rdimtools

Dimension Reduction and Estimation Methods

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

George614/SOM-in-JAX

Self-Organizing Maps implemented in JAX

Language: Python - Size: 52.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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

ekorman/neurve

topological deep learning

Language: Python - Size: 30.7 MB - Last synced at: 11 months ago - Pushed at: 11 months 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: 12 months ago - Pushed at: 12 months ago - Stars: 7 - Forks: 2

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: 2 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 3

KevinMoonLab/RF-PHATE

Supervised visualization of high-dimensional data using random forests

Size: 196 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

ankushgpta2/Vision2DeepManifold

Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity

Language: Python - Size: 87.9 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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

techshot25/Autoencoders

This will show how to make autoencoders using pytorch neural networks

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 17 - Forks: 8

zuliani99/ManifoldLearning-GraphKernels

Analysis of Weisfeiler-Lehman Kernel using Isomap and Local Linear Embedded manifold learning technique among PPI and SHOCK datasets

Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

caokai1073/Pamona

The software of Pamona, a partial manifold alignment algorithm.

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

mims-harvard/data-mining-unipv

Short Course on Data Mining at University of Pavia

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

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: almost 3 years ago - Stars: 16 - Forks: 4

kokoff/mlap

Machiene Learning and Application module open assessment

Language: TeX - Size: 657 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - 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

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

Gabriele-Codega/Manifold_Sculpting

A Python implementation of Manifold Sculpting

Language: Python - Size: 63.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JoshuaHess12/miaaim-python

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

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

Pressio/pressio4py

Python bindings to pressio

Language: C++ - Size: 6.89 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 10 - 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: 2 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

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

SeventhSERGIO/Deteccion_de_genomas_anamalos

Este repositorio contiene la colección de Jupyter Notebooks generados para implementar la metodología descrita en el documento de Tesis "Detección de genomas anómalos de sars-cov-2 por medio de algoritmos de aprendizaje no supervisados".

Language: Jupyter Notebook - Size: 69.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elaaj/weisfeiler-and-manifold-techniques-svm

The goal here is to use a graph kernel and a manifold learning technique in conjunction with Support Vector Machines to enhance the SVM classification.

Language: Jupyter Notebook - Size: 917 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MaayanLab/Graph-DR

Benchmarks of dimensionality reduction algorithms

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

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

jgurakuqi/graph-kernels-and-manifold-svm

This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.

Language: Jupyter Notebook - Size: 70.3 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

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

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

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

JoshuaHess12/miaaim

Multi-omics image alignment and analysis by information manifolds (MIAAIM)

Language: Nextflow - Size: 93.7 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

JoshuaHess12/hdi-prep

High-dimensional image preparation module for MIAAIM

Language: Python - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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

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

GitWR/MMML

MMML-ICPR‘18

Language: MATLAB - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: about 5 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

roytravel/pattern-recognition

Pattern recognition - machine learning from scratch

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

roytravel/machine-learning-from-scratch

Machine Learning Algorithm Implementations from Scratch for AI Researchers

Language: Jupyter Notebook - Size: 243 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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

BrunoFrancesco97/ManifoldLearning-GraphKernel

Shortest-Path Kernel analysis with LLE and Isomap manifold algorithms application

Language: Python - Size: 1.13 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

prakhosha/Valorant-VCT-2022-Player-s-Playstyle-Analysis

Valorant player playstyle's Analysis using unsupervised learning algorithm

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jonzia/Manifold

Manifold mapping with ISOMAP (MATLAB).

Language: MATLAB - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - 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: almost 3 years ago - Stars: 6 - Forks: 1

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

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

bazvalya/GSA_using_GDMaps_PCE

A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".

Language: Jupyter Notebook - Size: 1.29 GB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

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

wudangt/manifold-learning

Some knowledge about manifolds :atom:

Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0