Alternatives and similar repositories for kohonen-maps

Users that are interested in kohonen-maps are comparing it to the libraries listed below

• sorend / fylearn
  Fuzzy machine learning algorithms implementing the scikit-learn interface.
  ☆75Updated last year
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆99Updated last year
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆79Updated 2 years ago
• fcomitani / simpsom
  Python library for Self-Organizing Maps
  ☆163Updated last year
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆80Updated 4 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆56Updated 6 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• casper-hansen / Nested-Cross-Validation
  Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…
  ☆64Updated 5 years ago
• alexarnimueller / som
  Self organizing Kohonen map in Python with periodic boundary conditions
  ☆134Updated last year
• asdspal / dimRed
  python, scala, and pyspark code for few dimensional reduction algorithms
  ☆62Updated 7 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 6 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆51Updated 4 years ago
• vafaei-ar / drama
  Main component extraction for outlier detection
  ☆20Updated 4 years ago
• Garima13a / Kalman-Filters
  Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…
  ☆92Updated 3 years ago
• oulenz / fuzzy-rough-learn
  A library of fuzzy rough machine learning algorithms
  ☆30Updated last month
• rileypsmith / sklearn-som
  A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.
  ☆81Updated 2 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• luisguiserrano / hmm
  An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.you…
  ☆147Updated 3 years ago
• renatoosousa / GeneticAlgorithmForFeatureSelection
  Search the best feature subset for you classification mode
  ☆111Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• codyznash / GANs_for_Credit_Card_Data
  ☆109Updated 2 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆89Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆100Updated 4 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago