Alternatives and similar repositories for pyitlib

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

• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 3 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• pavelkomarov / projection-pursuit
  An implementation of multivariate projection pursuit regression and univariate classification
  ☆37Updated 3 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆279Updated last week
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆231Updated 4 years ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated last year
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆184Updated 2 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆137Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• stylianos-kampakis / supervisedPCA-Python
  ☆40Updated 9 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated last year
• selective-inference / Python-software
  Python software for selective inference
  ☆52Updated 2 years ago
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆85Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆100Updated last year
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆54Updated 5 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆37Updated 10 months ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆100Updated 5 years ago