UdayLab / PAMI
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
β260Updated 3 weeks ago
Alternatives and similar repositories for PAMI:
Users that are interested in PAMI are comparing it to the libraries listed below
- scikit-mine : pattern mining in Pythonβ73Updated last year
- [AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Libraryβ133Updated 4 months ago
- Python SPMF Wrapper π πβ66Updated 10 months ago
- Exceptional Model Mining is a descriptive data mining technique to find interesting patterns in datasets. This package contains a Python β¦β11Updated 10 months ago
- LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warpinβ¦β22Updated last month
- C# code of ECSM (AI 2016 conference)β11Updated 8 years ago
- The shortest yet efficient implementation of the famous sequential pattern mining algorithm PrefixSpan in Scala.β11Updated 7 years ago
- Example usage of scikit-htsβ57Updated 2 years ago
- [AMAI 2024] Selective: Feature Selection Libraryβ68Updated 4 months ago
- [AAAI 2021] TextWiser: Text Featurization Libraryβ56Updated last month
- The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining β¦β418Updated 4 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating tβ¦β64Updated last month
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for anyβ¦β100Updated 2 years ago
- https://arxiv.org/abs/2009.01561β23Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.β41Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoostβ89Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for β¦β106Updated 2 years ago
- A power-full Shapley feature selection method.β204Updated 11 months ago
- Various methods for generating synthetic data for data science and MLβ79Updated 3 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SESβ34Updated last year
- The stream-learn is an open-source Python library for difficult data stream analysis.β63Updated last month
- Forecasting with Gradient Boosted Time Series Decompositionβ195Updated last year
- Ruleset covering algorithms for transparent machine learningβ103Updated last month
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networksβ25Updated 5 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β65Updated 2 months ago
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.β129Updated last year
- GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.β82Updated 2 months ago
- Python package for automatically constructing features from multiple time seriesβ40Updated 7 months ago
- AutoML for clustering models in sklearn.β61Updated 2 years ago
- Easy and intuitive generation of synthetic timeseries for Python.β39Updated 7 months ago