pafoster / pyitlibLinks
A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
☆98Updated 2 months ago
Alternatives and similar repositories for pyitlib
Users that are interested in pyitlib are comparing it to the libraries listed below
Sorting:
- Distance correlation and related E-statistics in Python☆153Updated 11 months ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆229Updated last month
- Scikit-learn compatible estimation of general graphical models☆246Updated last month
- Fast and modular sklearn replacement for generalized linear models☆179Updated this week
- Group Lasso implementation following the scikit-learn API☆106Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆273Updated this week
- ☆40Updated 9 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- A Python 3 package for state-of-the-art statistical dimension reduction methods☆41Updated last year
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆61Updated 2 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Python software for selective inference☆52Updated 2 years ago
- ☆98Updated 7 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- minepy - Maximal Information-based Nonparametric Exploration☆229Updated last year
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- An implementation of multivariate projection pursuit regression and univariate classification☆37Updated 4 months ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆99Updated last year
- Mapper implementation (Topological Data Analysis) in Python☆65Updated 7 years ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆145Updated last year
- A scikit-learn compatible implementation of hyperband☆77Updated 5 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆136Updated last year
- Hidden Markov models in PyMC3☆99Updated last year
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year