The Libra Toolkit

The Libra Toolkit

The Libra Toolkit comprises a suite of algorithms designed for learning and inference in discrete probabilistic models, such as Bayesian networks and sum-product networks. With an emphasis on structure learning for efficient exact inference, each command-line program is user-friendly and consistent, making it ideal for both interactive use and scripting.

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Top The Libra Toolkit Features

  • Structure learning focus
  • Efficient exact inference
  • Command-line program interface
  • Interactive and scripting use
  • Consistent options and formats
  • Supports multiple probabilistic models
  • Tractable models optimization
  • OCaml implementation for speed
  • OASIS build system integration
  • OPAM installation support
  • Comprehensive documentation
  • Incompatibility fixes in updates
  • Development version availability
  • Community-contributed improvements
  • BSD license for flexibility
  • Algorithm diversity for learning
  • Utility methods for efficiency
  • Source code repository access
  • Regular version updates
  • User-friendly installation process
Top The Libra Toolkit Alternatives
  • OpenAI Gym
  • SAS Factory Miner
  • Stanford Classifier
  • PyTorch
  • ibm powerai
  • Accord.MachineLearning
  • IBM Machine Learning for z/OS
  • PushGP
  • Apache SAMOA
  • Theano
  • Apache SystemML
  • Numenta
  • FlinkML
  • Stan
  • Amazon CodeGuru
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