LoMRF
Markov Logic Network library
An implementation of Markov Logic Networks in Scala for logical inference and machine learning.
LoMRF is an open-source implementation of Markov Logic Networks
81 stars
9 watching
18 forks
Language: Scala
last commit: 6 months ago graphical-modelsinferencelogicmachine-learningprobabilistic-programmingscala
Related projects:
Repository | Description | Stars |
---|---|---|
| Enables machine learning with scikit-learn in OCaml | 34 |
| A Common Lisp machine learning library that supports neural networks, Boltzmann machines, and other algorithms. | 593 |
| An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning | 0 |
| A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
| A machine learning library for Ruby that allows users to build predictive models quickly and easily. | 659 |
| A system that uses Markov Logic Networks to discover links in knowledge graphs | 4 |
| A Python web framework specifically designed to build LLM microservices with built-in support for FastAPI and streaming capabilities. | 978 |
| OCaml bindings for a popular machine learning framework | 283 |
| An OCaml interface to high-performance linear algebra libraries (BLAS/LAPACK) for numerical computations. | 128 |
| A Common Lisp library for parallel programming with fine-grained control over task submission and execution. | 246 |
| A C++ library for analyzing and manipulating logic networks | 214 |
| A library for distributing work across machines using parallel processing | 106 |
| An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task | 54 |
| A real-time online machine learning library built on top of Storm and Trident. | 381 |
| Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |