Alternatives and similar repositories for GrowingNeuralGas

Users that are interested in GrowingNeuralGas are comparing it to the libraries listed below

• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆49Updated last year
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆33Updated 4 years ago
• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• hichamjanati / spatio-temporal-alignements
  Spatio-temporal alignements: Optimal transport in space and time
  ☆49Updated 8 months ago
• zalanborsos / coresets
  Coresets
  ☆38Updated 3 years ago
• ibramjub / Fast-and-Accurate-Least-Mean-Squares-Solvers
  Implementation of the algorithms presented in the paper "Fast and Accurate Least-Mean-Squares Solvers".
  ☆77Updated 5 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆131Updated 5 years ago
• JanRocketMan / regression-prior-networks
  An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
  ☆36Updated 5 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 5 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• talwagner / efficient_kde
  Efficient LSH-based kernel density estimation
  ☆29Updated 6 years ago
• borchero / natural-posterior-network
  Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …
  ☆87Updated 2 years ago
• master / tensorflow-riemopt
  A library for optimization on Riemannian manifolds
  ☆112Updated 2 weeks ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆54Updated 3 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆124Updated 2 weeks ago
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆74Updated 2 years ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆206Updated 2 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆147Updated last year
• dizcza / EmbedderSDR
  Embedder with binary sparse distributed representation.
  ☆19Updated 7 months ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆22Updated 7 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆56Updated 7 years ago
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 5 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆22Updated 4 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆137Updated 2 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆189Updated 2 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆21Updated 2 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆66Updated 2 years ago
• fukatani / soinn
  Unsupervised Learning by SOINN (Self-Organizing Incremental Neural Network).
  ☆56Updated 8 years ago