Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
☆255Mar 5, 2020Updated 6 years ago
Alternatives and similar repositories for Manifold-Learning
Users that are interested in Manifold-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning☆12Dec 30, 2017Updated 8 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Nov 12, 2021Updated 4 years ago
- Implemented Laplacian Eigenmaps☆21Oct 7, 2021Updated 4 years ago
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆23Jan 26, 2018Updated 8 years ago
- Collection of three method of moments based algorithms for learning stochastic languages.☆16Jan 22, 2015Updated 11 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Python module for mapping multiple high-dimensional datasets into a common low-dimensional space.☆10Mar 29, 2018Updated 8 years ago
- IsoMap algorithm in MATLAB, with crappy Floyd-Warshall for all pairs shortest distances.☆10Mar 5, 2017Updated 9 years ago
- ☆26Aug 19, 2019Updated 6 years ago
- SCoPE: Sentence Content Paragraph Embeddings☆18Jul 30, 2019Updated 6 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Code and Word2Vec embeddings of LOINC codes for KDD 2019 DSHealth paper "Evaluation of Embeddings of Laboratory Test Codes for Patients a…☆11Jun 13, 2024Updated last year
- Simple Principal Curves in Python☆33Jul 6, 2021Updated 4 years ago
- ☆19Jan 29, 2026Updated 2 months ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Base pair-augmented SE(3)-flow matching for conditional RNA 3D structure generation☆12Jan 19, 2026Updated 2 months ago
- Computations and statistics on manifolds with geometric structures.☆1,478Apr 1, 2026Updated 2 weeks ago
- A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.☆15Nov 15, 2018Updated 7 years ago
- Codebase of the paper "Aligning Protein Conformation Ensemble Generation with Physical Feedback" (ICML 2025)☆16Jul 6, 2025Updated 9 months ago
- Declarative group-wise count and compute, describing your target table☆13Jan 8, 2026Updated 3 months ago
- A Julia package for manifold learning and nonlinear dimensionality reduction☆94Mar 2, 2024Updated 2 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆18Feb 27, 2023Updated 3 years ago
- pynapple collaborative data analysis (high level python scripts)☆39Dec 4, 2025Updated 4 months ago
- A Unified Approach to MEG Source Analysis under the Continuous Stimuli Paradigm☆15Oct 17, 2025Updated 6 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Spiking Convolutional Neural Network for Epilepsy Detection☆11May 14, 2020Updated 5 years ago
- Order-preserving Optimal Transport for Distances between Sequences☆30Oct 4, 2018Updated 7 years ago
- Spectral embedding using Laplacian Eigenmaps☆15Oct 15, 2018Updated 7 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆142Jul 30, 2024Updated last year
- Non Metric Space ( Approximate ) Library in R☆12Feb 2, 2023Updated 3 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54May 16, 2022Updated 3 years ago
- A multidimensional scaling (MDS) and landmark multidimensional scaling (LMDS) implementation☆16Apr 10, 2021Updated 5 years ago
- Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.☆15May 14, 2017Updated 8 years ago
- K-SVD Denoising Algorithm☆23Mar 16, 2016Updated 10 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis☆16Nov 28, 2025Updated 4 months ago
- ☆13Jan 24, 2023Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Geometric kernels on manifolds, meshes and graphs☆579Mar 10, 2026Updated last month
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆34Aug 22, 2025Updated 7 months ago
- This repository implements Semantic Segmentation of the Indian Driving Dataset. It contains two architectures to achieve this: FCN8s and …☆12May 1, 2020Updated 5 years ago
- ☆14May 6, 2021Updated 4 years ago