Manifold Learning Frameworks

Tools and libraries for non-linear dimensionality reduction, manifold approximation, and geometric machine learning on curved spaces. Does NOT include linear dimensionality reduction (PCA), general embedding visualization tools, or applications of these techniques to specific domains.

There are 75 manifold learning frameworks tracked. 3 score above 70 (verified tier). The highest-rated is lmcinnes/umap at 80/100 with 8,114 stars. 3 of the top 10 are actively maintained.

Get all 75 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=manifold-learning-frameworks&limit=20"

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#	Framework	Score	Tier	Stars	Language
1	lmcinnes/umap Uniform Manifold Approximation and Projection	80	Verified	8,114	Python
2	pyRiemann/pyRiemann Machine learning for multivariate data through the Riemannian geometry of...	80	Verified	743	Python
3	geomstats/geomstats Computations and statistics on manifolds with geometric structures.	78	Verified	1,465	Python
4	higra/Higra Hierarchical Graph Analysis	67	Established	111	C++
5	pavlin-policar/openTSNE Extensible, parallel implementations of t-SNE	64	Established	1,617	Python
6	giotto-ai/giotto-tda A high-performance topological machine learning toolbox in Python	63	Established	977	Python
7	sissa-data-science/DADApy Distance-based Analysis of DAta-manifolds in python	63	Established	142	Python
8	DeepLearnPhysics/spine Scalable Particle Imaging with Neural Embeddings	62	Established	5	Python
9	3diglab/geomfum Geometry processing and machine learning with functional maps.	59	Established	64	Python
10	cvxgrp/pymde Minimum-distortion embedding with PyTorch	58	Established	581	Python
11	JuliaGraphs/GraphNeuralNetworks.jl Graph Neural Networks in Julia	58	Established	293	Julia
12	matousc89/padasip Python Adaptive Signal Processing	57	Established	321	Python
13	sun-umn/PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation	56	Established	42	Python
14	wwhenxuan/PySDKit A Python library for signal decomposition algorithms	55	Established	192	Python
15	aidos-lab/pytorch-topological A topological machine learning framework based on PyTorch	54	Established	202	Python
16	jajupmochi/graphkit-learn A python package for graph kernels, graph edit distances, and graph...	53	Established	128	Jupyter Notebook
17	oscarescuderoarnanz/dtwParallel Dynamic Time Warping	51	Established	47	Jupyter Notebook
18	davisidarta/topometry Systematically learn and evaluate the latent geometry from high-dimensional...	51	Established	105	Python
19	dillondaudert/UMAP.jl Uniform Manifold Approximation and Projection (UMAP) implementation in Julia	51	Established	144	Julia
20	mikgroup/sigpy Python package for signal processing, with emphasis on iterative methods	50	Established	335	Python
21	toinsson/pysdtw Torch implementation of Soft-DTW, supports CUDA.	49	Emerging	49	Python
22	FatemehTarashi/awesome-tda A curated list of topological data analysis (TDA) resources and links.	48	Emerging	216	—
23	harveyslash/TSNE-UMAP-Embedding-Visualisation A Simple and easy to use way to Visualise Embeddings!	48	Emerging	261	HTML
24	weber-s/pyPMF Positive Matrix Factorization handler	47	Emerging	14	Python
25	hi-paris/Lowrankdensity Lowrankdensity	46	Emerging	7	Python
26	deepsphere/deepsphere-cosmo-tf1 A spherical convolutional neural network for cosmology (TFv1).	46	Emerging	135	Jupyter Notebook
27	mpmatthe/evomap A Toolbox for Dynamic Mapping in Python	44	Emerging	22	Python
28	Maghoumi/pytorch-softdtw-cuda Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch	44	Emerging	728	Python
29	neurreps/awesome-neural-geometry A curated collection of resources and research related to the geometry of...	44	Emerging	1,051	—
30	markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping Python implementation of KNN and DTW classification algorithm	43	Emerging	791	Jupyter Notebook
31	davidemiceli/watch-complexity A package to understand and analyze complex networks and more in general...	43	Emerging	5	JavaScript
32	pchlenski/manify A Python Library for Learning Non-Euclidean Representations	42	Emerging	71	Jupyter Notebook
33	Chunjiang-Intelligence/low-rank-decay 「Low-Rank Decay」的官方实现。	42	Emerging	17	Python
34	khoruzhii/cayleypy-cube Learned diffusion heuristics with GPU-accelerated search for short paths in...	41	Emerging	64	Python
35	c-hofer/torchph The essence of my research, distilled for reusability. Enjoy 🥃!	41	Emerging	73	Jupyter Notebook
36	Thinklab-SJTU/pygmtools A Python Graph Matching Toolkit.	40	Emerging	348	Python
37	VersorAI/Versor Conformal Geometric Algebra (CGA) with efficient sequence modeling by...	40	Emerging	5	Python
38	SmartTensors/NMFk.jl Nonnegative Matrix Factorization + k-means clustering and physics...	40	Emerging	17	HTML
39	lrnzgiusti/awesome-topological-deep-learning A curated list of topological deep learning (TDL) resources and links.	39	Emerging	275	—
40	msmathcomp/hyperbolic-tsne Experiments and content for the "Accelerating hyperbolic t-SNE" paper.	39	Emerging	15	Python
41	zikribayraktar/Carbon_Capture_ML Survey of all published Carbon Capture ML papers, data, code and...	39	Emerging	51	—
42	timsainb/ParametricUMAP_paper Parametric UMAP embeddings for representation and semisupervised learning....	39	Emerging	152	Jupyter Notebook
43	lanl/pyDNMFk Python Distributed Non Negative Matrix Factorization with custom clustering	38	Emerging	24	Python
44	stefaniaebli/simplicial_neural_networks Simplicial neural networks (SNNs), a generalization of graph neural networks...	37	Emerging	84	Jupyter Notebook
45	ChangWeiTan/FastWWSearch This work focused on fast searching for the best warping window for Dynamic...	37	Emerging	9	Java
46	keonlee9420/Soft-DTW-Loss PyTorch implementation of Soft-DTW: a Differentiable Loss Function for...	37	Emerging	148	Python
47	MachineLearningLifeScience/stochman Algorithms for computations on random manifolds made easier	37	Emerging	94	Python
48	ae-bii/neural-geometry Latent Space Geometry for Neural Networks in Python	36	Emerging	19	Python
49	evanseitz/ManifoldEM_Python ManifoldEM Python suite	35	Emerging	17	Python
50	davisidarta/fastlapmap Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear...	35	Emerging	23	Python
51	wilsonjr/humap Hierarchical Uniform Manifold Approximation and Projection	35	Emerging	240	C++
52	spdlearn/spd_learn SPDlearn: A Geometric Deep Learning Python Library for Neural Decoding...	35	Emerging	19	Python
53	Shape-Lab/SPHARM-Net SPHARM-Net: Spherical Harmonics-based Convolutional Neural Network	34	Emerging	98	Python
54	michael-psenka/manifold-linearization Companion repository for the paper "Representation Learning via Manifold...	34	Emerging	19	Jupyter Notebook
55	Concode0/Versor Versor: Stop Projecting, Start Rotating. GBN (Geometric Blade Network) - A...	34	Emerging	58	Python
56	rushilanirudh/pdsphere A Riemannian framework for statistical analysis of topological persistence diagrams	33	Emerging	8	Java
57	lanl/pyDRESCALk Distributed Non Negative RESCAL decomposition with estimation of latent features	33	Emerging	2	Python
58	AdaUchendu/AwesomeTDA4NLP Topological Data Analysis (TDA) for Natural Language Processing (NLP) Applications	32	Emerging	23	Jupyter Notebook
59	AaltoPML/spatiotemporal-graph-kernels The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.	31	Emerging	16	Python
60	dlanzo/CRANE Convolutional Recurrent Approximation of Nanoscale Evolution	30	Emerging	8	Python
61	Steenroder/steenroder Computation of persistence Steenrod barcodes	30	Emerging	9	Jupyter Notebook
62	RandomAnass/TDA-DL Topological Data Analysis and Deep Learning	29	Experimental	7	Jupyter Notebook
63	vadimlebovici/eulearning Eulearning: Euler characteristic tools for topological data analysis	27	Experimental	15	Python
64	DanielYang59/cnn4dos MPhil Project at QUT: Convolutional Neural Networks and Volcano Plots:...	25	Experimental	4	TeX
65	jaggbow/magnet This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural...	25	Experimental	38	Python
66	brian-hepler-phd/Spherical-CNN Interactive exploration of equivariant neural networks on homogeneous...	24	Experimental	16	Jupyter Notebook
67	jishanshaikh4/alpha-net Alpha-Net: Architecture, Models, and Applications (https://arxiv.org/abs/2007.07221)	21	Experimental	13	—
68	kepsail/SHGP NeurIPS 2022 - SHGP	21	Experimental	32	Python
69	qinguangjun/TDLBook Chinese Version of "Topological Deep Learning: Going Beyond Graph Data"....	19	Experimental	4	HTML
70	seydoux02/Spherical-CNN Interactive exploration of equivariant neural networks on homogeneous...	19	Experimental	2	Jupyter Notebook
71	Shr3yash/EmbedroW t-SNE, UMAP & PCA Projector Tool for custom data projection. Checkout the...	18	Experimental	2	HTML
72	pab1s/tda-nn-analysis This project aims to explore the optimization and transferability of...	18	Experimental	2	Jupyter Notebook
73	ml-lab-sau/Low-rank-label-subspace-transformation-for-multi-label-learning-with-missing-labels The proposed method captures local and global correlations using Low Rank...	12	Experimental	5	MATLAB
74	anthonylucky1909/DTWBoost DTWBoost: A Dynamic Time Warping Enhanced SVM Classifier for Time Series Data	12	Experimental	2	TypeScript
75	jgurakuqi/graph-kernels-and-manifold-svm This project aims to compare the performance obtained using a linear Support...	12	Experimental	1	Jupyter Notebook

Comparisons in this category

umap and UMAP.jl (80 vs 51) geomstats and geomfum (78 vs 59)