A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
jekyll/classifier-reborn की मुख्य विशेषताएं हैं: मशीन लर्निंग फ्रेमवर्क, Machine Learning Libraries, Scientific Computing।
jekyll/classifier-reborn के ओपन-सोर्स विकल्पों में शामिल हैं: catboost/catboost — CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression,… deeplearning4j/deeplearning4j — Deeplearning4j is a JVM-based deep learning framework and tensor computing library. It provides a computational graph… airbnb/aerosolve — Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a… apache/mahout — Apache Mahout - an environment for quickly creating scalable, performant machine learning applications. datumbox/datumbox-framework — Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine… encog/encog-java-core — Encog Machine Learning Framework.
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression, classification, and ranking tasks. It functions as a high-performance framework that provides a categorical data processor for transforming non-numeric features, a distributed trainer for large-scale datasets, and GPU acceleration to speed up model construction. The library distinguishes itself through native handling of categorical data and text features, removing the need for manual encoding. It includes a specialized model interpretability tool that leverages SHAP values and featu
Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a feature engineering tool and a model trainer that utilizes sparse feature modeling to simplify weight debugging and accelerate data iteration. The system includes a specialized domain-specific transformation language for converting raw data families into model-ready representations. It also provides capabilities for visual content analysis by mapping images into dense high-dimensional vector spaces to rank and organize data by style or content. The framework allows for human-
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.