Alternatives and similar repositories for susi

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

• fcomitani / simpsom
  Python library for Self-Organizing Maps
  ☆162Updated last year
• rileypsmith / sklearn-som
  A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.
  ☆80Updated 2 years ago
• FlorentF9 / SOMperf
  SOMperf: Self-organizing maps performance metrics and quality indices
  ☆37Updated last year
• S-Driscoll / Projection-pursuit
  Code for performing various projection pursuit routines
  ☆36Updated 3 years ago
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆98Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆344Updated last year
• alexarnimueller / som
  Self organizing Kohonen map in Python with periodic boundary conditions
  ☆134Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆363Updated 3 years ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆80Updated 4 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆99Updated 4 years ago
• erdogant / pca
  pca: A Python Package for Principal Component Analysis.
  ☆321Updated this week
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆197Updated 2 weeks ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆50Updated last month
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆119Updated last year
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated last year
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• jasperroebroek / sklearn-quantile
  ☆23Updated 5 months ago
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆77Updated 4 years ago
• thieu1995 / permetrics
  Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
  ☆80Updated 11 months ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆173Updated last year
• drazenz / heatmaps
  Better heatmaps in Python
  ☆136Updated 3 years ago
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆166Updated 6 years ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆85Updated last month
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆135Updated last year
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆96Updated last year