cc-skuehn / Manifold_LearningLinks
Worked examples about manifold learning using sklearn and jupyter
☆51Updated 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
Sorting:
- Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST☆64Updated 7 years ago
- Convolution dictionary learning for time-series☆132Updated 2 weeks ago
- Topological Data Analysis Routines☆147Updated this week
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Embed strange attractors using a regularizer for autoencoders☆133Updated 4 years ago
- Open source library for combining TDA and Machine Learning☆85Updated last year
- Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization☆99Updated last year
- Foundational library for Kernel methods in pattern analysis and machine learning☆42Updated 2 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Preconditioned ICA for Real Data☆114Updated last week
- A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python☆64Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 7 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 8 months ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 9 months ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆238Updated 5 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Topological Data Analysis in Python☆170Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Foundations and Applications☆100Updated 5 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…☆79Updated 13 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆189Updated 3 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago