AdrienGuille / GrowingNeuralGasLinks
Simple implementation of the "growing neural gas" artificial neural network
☆63Updated 5 years ago
Alternatives and similar repositories for GrowingNeuralGas
Users that are interested in GrowingNeuralGas are comparing it to the libraries listed below
Sorting:
- Implementation of growing neural gas algorithm☆28Updated 3 years ago
- Dirichlet Process K-means☆48Updated last year
- Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Coresets☆37Updated 3 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago
- factor graph library☆69Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 2 months ago
- Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA☆16Updated last year
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Hierarchical Wasserstein Alignment☆9Updated 5 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- A regularized version of RBM for unsupervised feature selection.☆13Updated 5 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Putting GaelVaroquaux's mutual_info gist in a project until it has a better home.☆30Updated last year
- Python module for graphs and hypergraphs.☆38Updated 8 years ago
- Semantic Loss code☆59Updated 6 years ago
- Unsupervised Learning by SOINN (Self-Organizing Incremental Neural Network).☆57Updated 8 years ago
- Implemented Laplacian Eigenmaps☆19Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆71Updated 2 years ago
- ☆16Updated 10 years ago
- Self-Organizing Incremental Neural Network implementation with Python☆43Updated 6 years ago
- ☆51Updated 11 months ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago