Python package for Bayesian Machine Learning with scikit-learn API
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
scikit-learn inspired API for CRFsuite
Principalele funcționalități ale teamhg-memex/sklearn-crfsuite sunt: General Machine Learning, Framework-uri de Machine Learning, Machine Learning Packages, Probabilistic Modeling.
Alternativele open-source pentru teamhg-memex/sklearn-crfsuite includ: amazaspshumik/sklearn-bayes — Python package for Bayesian Machine Learning with scikit-learn API. danielhanchen/hyperlearn — 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… christophm/rulefit — Python implementation of the rulefit algorithm. csinva/imodels — Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). davisking/dlib — dlib is a C++ machine learning toolkit and data analysis framework. It provides a collection of algorithms and…
