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The Top 23 Manifold Learning Open Source Projects

Open source projects categorized as Manifold Learning
Categories > Manifold Learning
Smile ⭐ 5,833
Statistical Machine Intelligence & Learning Engine
dependent packages 35total releases 33most recent commit 6 months ago
Minisom ⭐ 1,339
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
dependent packages 14total releases 24most recent commit 3 months agopypi MiniSom} Downloads
Phate ⭐ 421
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
dependent packages 14total releases 36most recent commit 10 months agopypi phate} Downloads
Cellrank ⭐ 279
CellRank: dynamics from multi-view single-cell data
dependent packages 4total releases 32most recent commit 4 months agopypi cellrank} Downloads
S Vae Pytorch ⭐ 214
Pytorch implementation of Hyperspherical Variational Auto-Encoders
most recent commit 4 years ago
Palantir ⭐ 184
Single cell trajectory detection
dependent packages 2total releases 10most recent commit 3 months agopypi palantir} Downloads
S Vae Tf ⭐ 178
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
most recent commit 5 years ago
Python World ⭐ 143
most recent commit 4 months ago
Manifold Flow ⭐ 131
Manifold-learning flows (ℳ-flows)
most recent commit 3 years ago
Tldr ⭐ 80
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
most recent commit 2 years ago
Dimred ⭐ 74
A Framework for Dimensionality Reduction in R
dependent packages 3total releases 9most recent commit a year ago
Manifoldlearning.jl ⭐ 69
A Julia package for manifold learning and nonlinear dimensionality reduction
most recent commit 2 years ago
Topometry ⭐ 69
Systematically learn and evaluate manifolds from high-dimensional data
total releases 26most recent commit 10 months ago
Tensorflow Mnist Aae ⭐ 65
Tensorflow implementation of adversarial auto-encoder for MNIST
most recent commit 6 years ago
Gss ⭐ 50
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
most recent commit 4 years ago
Rdimtools ⭐ 39
Dimension Reduction and Estimation Methods
dependent packages 4total releases 17most recent commit a year ago
Manifold Learning ⭐ 31
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
most recent commit 4 years ago
Dive ⭐ 23
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.
most recent commit 6 years ago
Caltech_birds ⭐ 23
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
total releases 11most recent commit 3 years ago
Credit ⭐ 18
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
total releases 3most recent commit 2 years ago
Gdm Pce ⭐ 16
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
most recent commit 2 years ago
Gd Vae ⭐ 15
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.
most recent commit 8 months ago
Datafold ⭐ 14
Extended Dynamic Mode Decomposition to extract analytical and predictive from time series data (with dictionary learning, control and streaming options) . Diffusion Maps to extract geometric description from data.
most recent commit 5 months ago
The 8 Most Depended On Manifold Learning Open Source Projects
Smile ⭐ 5,833
Statistical Machine Intelligence & Learning Engine
dependent packages 35total releases 33latest release June 14, 2023most recent commit 6 months ago
Phate ⭐ 421
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
dependent packages 14total releases 36latest release August 13, 2018most recent commit 10 months agopypi phate} Downloads
Minisom ⭐ 1,339
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
dependent packages 14total releases 24latest release March 02, 2023most recent commit 3 months agopypi MiniSom} Downloads
Cellrank ⭐ 279
CellRank: dynamics from multi-view single-cell data
dependent packages 4total releases 32latest release November 27, 2023most recent commit 4 months agopypi cellrank} Downloads
Rdimtools ⭐ 39
Dimension Reduction and Estimation Methods
dependent packages 4total releases 17latest release April 18, 2021most recent commit a year ago
Dimred ⭐ 74
A Framework for Dimensionality Reduction in R
dependent packages 3total releases 9latest release July 11, 2022most recent commit a year ago
Palantir ⭐ 184
Single cell trajectory detection
dependent packages 2total releases 10latest release November 29, 2023most recent commit 3 months agopypi palantir} Downloads
Coranking ⭐ 8
Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
dependent packages 1total releases 6latest release March 20, 2023most recent commit a year ago
The 10 Latest Releases In Manifold Learning Open Source Projects
Palantir ⭐ 184
Single cell trajectory detection
dependent packages 2total releases 10latest release November 29, 2023most recent commit 3 months agopypi palantir} Downloads
Cellrank ⭐ 279
CellRank: dynamics from multi-view single-cell data
dependent packages 4total releases 32latest release November 27, 2023most recent commit 4 months agopypi cellrank} Downloads
Pytorch Bsf ⭐ 7
PyTorch implementation of Bezier simplex fitting
total releases 9latest release October 19, 2023most recent commit 5 months ago
Heatgeo ⭐ 6
Embedding with the Heat-geodesic dissimilarity
total releases 1latest release July 04, 2023most recent commit 8 months ago
Smile ⭐ 5,833
Statistical Machine Intelligence & Learning Engine
dependent packages 35total releases 33latest release June 14, 2023most recent commit 6 months ago
Coranking ⭐ 8
Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
dependent packages 1total releases 6latest release March 20, 2023most recent commit a year ago
Minisom ⭐ 1,339
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
dependent packages 14total releases 24latest release March 02, 2023most recent commit 3 months agopypi MiniSom} Downloads
Topometry ⭐ 69
Systematically learn and evaluate manifolds from high-dimensional data
total releases 26latest release November 28, 2022most recent commit 10 months ago
Dimred ⭐ 74
A Framework for Dimensionality Reduction in R
dependent packages 3total releases 9latest release July 11, 2022most recent commit a year ago
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