Alternatives and similar repositories for growing_hierarchical_som

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

• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆98Updated last year
• felixriese / susi
  SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
  ☆114Updated 6 months ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆143Updated last year
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆136Updated last year
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 2 months ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• pierrebaudot / infotopopy
  computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …
  ☆38Updated 3 years ago
• fcomitani / simpsom
  Python library for Self-Organizing Maps
  ☆162Updated last year
• alan-turing-institute / TCPDBench
  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
  ☆142Updated last week
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆188Updated 3 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆210Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆41Updated last year
• gregversteeg / NPEET
  Non-parametric Entropy Estimation Toolbox
  ☆412Updated 2 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆231Updated 3 years ago
• alan-turing-institute / TCPD
  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
  ☆153Updated 2 weeks ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆186Updated 3 years ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆81Updated 3 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 last year
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆195Updated 4 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆99Updated last year
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆102Updated last year
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆237Updated 5 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆168Updated last year
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆118Updated 3 years ago
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆244Updated 2 years ago