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himkt avatar

himkt/rblearn

0
View on GitHub↗
2 stars·1 fork·Ruby·MIT·4 viewsrubygems.org/gems/rblearn↗

Rblearn

ruby-learn is a library for machine learning.

Features

  • Machine Learning Frameworks - Supports feature extraction and cross-validation workflows.
  • Machine Learning Libraries - Library for feature extraction and cross-validation.

Star history

Star history chart for himkt/rblearnStar history chart for himkt/rblearn

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Rblearn

These projects share indexed features with Rblearn. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/mahoutapache avatar

    apache/mahout

    2,294View on GitHub↗

    Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.

    Rust
    View on GitHub↗2,294
  • catboost/catboostcatboost avatar

    catboost/catboost

    8,808View on GitHub↗

    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

    C++big-datacatboostcategorical-features
    View on GitHub↗8,808
  • airbnb/aerosolveairbnb avatar

    airbnb/aerosolve

    4,804View on GitHub↗

    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-

    Scala
    View on GitHub↗4,804
  • datumbox/datumbox-frameworkdatumbox avatar

    datumbox/datumbox-framework

    1,084View on GitHub↗

    Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

    Javabig-datadata-sciencejava
    View on GitHub↗1,084
Compare all 30 related projects→

Frequently asked questions

What does himkt/rblearn do?

ruby-learn is a library for machine learning.

What are the main features of himkt/rblearn?

The main features of himkt/rblearn are: Machine Learning Frameworks, Machine Learning Libraries.

Which projects share features with himkt/rblearn?

Projects with overlapping indexed features include: 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.