Alternatives and similar repositories for pyitlib:

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

• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆148Updated 8 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last year
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆41Updated 11 months ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆53Updated 5 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆225Updated last week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆172Updated this week
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 2 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated 11 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆93Updated 3 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆266Updated last week
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆53Updated 2 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 9 months ago
• mcyeh / mstamp
  ☆37Updated 6 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆287Updated 2 weeks ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆71Updated 2 years ago
• stylianos-kampakis / supervisedPCA-Python
  ☆39Updated 9 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆324Updated this week
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆39Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆92Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year