AdrienGuille / GrowingNeuralGasLinks
Simple implementation of the "growing neural gas" artificial neural network
☆62Updated 5 years ago
Alternatives and similar repositories for GrowingNeuralGas
Users that are interested in GrowingNeuralGas are comparing it to the libraries listed below
Sorting:
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- Implementation of growing neural gas algorithm☆28Updated 3 months ago
- factor graph library☆69Updated 6 years ago
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 5 years ago
- Dirichlet Process K-means☆48Updated last year
- Spatio-temporal alignements: Optimal transport in space and time☆48Updated 7 months ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆105Updated 5 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 5 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Coresets☆37Updated 3 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆146Updated last year
- Hyperbolic Hierarchical Clustering.☆205Updated 2 years ago
- A fast hierarchical dimensionality reduction algorithm.☆69Updated last week
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆138Updated 2 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 3 months ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Implementation of Recurrent Hidden Semi-Markov Model http://www.cc.gatech.edu/~lsong/papers/DaiDaiZhaLietal17.pdf☆10Updated 6 years ago
- Factor Graph Neural Network☆74Updated 4 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆248Updated 5 years ago
- Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- Python package for multi-view machine learning☆214Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Efficient LSH-based kernel density estimation☆29Updated 6 years ago
- Uncertainty and causal emergence in complex networks☆121Updated 4 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago