UdayLab / PAMILinks
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
☆284Updated last week
Alternatives and similar repositories for PAMI
Users that are interested in PAMI are comparing it to the libraries listed below
Sorting:
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆251Updated 3 weeks ago
- scikit-mine : pattern mining in Python☆74Updated 2 years ago
- [AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library☆136Updated last year
- A power-full Shapley feature selection method.☆213Updated 3 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Updated 2 years ago
- [AMAI 2024] Selective: Feature Selection Library☆69Updated 4 months ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- All Relevant Feature Selection☆142Updated 9 months ago
- Automated Tool for Optimized Modelling☆163Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- A python library for hierarchical classification compatible with scikit-learn☆136Updated 10 months ago
- Phi_K correlation analyzer library☆172Updated 2 weeks ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆63Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 9 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆65Updated last week
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 3 weeks ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- A library to generate synthetic time series data by easy-to-use factors and generator☆155Updated last year
- scikit-learn compatible tools for building credit risk acceptance models☆106Updated 11 months ago
- Validation for forecasts☆17Updated 2 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆139Updated 11 months ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆120Updated this week
- Ruleset covering algorithms for transparent machine learning☆111Updated 7 months ago
- Python package for Imputation Methods☆251Updated 2 years ago
- Python implementation of Density-Based Clustering Validation☆179Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆39Updated 2 years ago
- Quick and Easy Time Series Outlier Detection☆111Updated 3 months ago