Alternatives and similar repositories for CorrelationMatrixClustering

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

• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 8 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 months ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated last week
• open-risk / transitionMatrix
  Statistical analysis and visualization of state transition phenomena
  ☆86Updated 11 months ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆130Updated 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
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 6 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• drazenz / heatmaps
  Better heatmaps in Python
  ☆137Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated 2 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 6 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago