buquicchiol / MaximumVarianceUnfolding
A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.
☆15Updated 5 years ago
Related projects: ⓘ
- Python code of Hilbert-Schmidt Independence Criterion☆77Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆138Updated 2 years ago
- Python package for graph-based clustering and semi-supervised learning☆83Updated 2 months ago
- Testing methods for estimating KL-divergence from samples.☆61Updated 6 months ago
- PyTorch Implementations of a VAE and a beta-VAE.☆58Updated 3 years ago
- Roundtrip: density estimation with deep generative neural networks☆62Updated 4 months ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆126Updated 10 months ago
- ☆112Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆95Updated last year
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 6 months ago
- local non-uniformity correction for mutual information estimation☆68Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 4 years ago
- A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python☆61Updated 6 months ago
- Implementation of the PersLay layer for persistence diagrams☆79Updated 11 months ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆215Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆124Updated last year
- Gaussian Process Prior Variational Autoencoder☆78Updated 5 years ago
- A toy example of VAE-regression network☆70Updated 4 years ago
- Keras implementation (only for tensorflow backend) of MINE: Mutual Information Neural Estimation☆20Updated 5 years ago
- Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation☆22Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆41Updated last year
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆22Updated 2 years ago
- A package for Multiple Kernel Learning in Python☆128Updated last year
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆130Updated 4 months ago
- L1-regularized least squares with PyTorch☆63Updated last year
- Python implementation of several comparison-based hierarchical clustering algorithms.☆7Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆196Updated 2 years ago