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
80 stars
9 watching
20 forks
Language: Scala
last commit: 3 months ago graphical-modelsinferencelogicmachine-learningprobabilistic-programmingscala
Related projects:
Repository | Description | Stars |
---|---|---|
lehy/ocaml-sklearn | Enables machine learning with scikit-learn in OCaml | 34 |
melisgl/mgl | A machine learning library for building and training neural networks and other models. | 591 |
pouyamghari/pof-mkl | An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning | 0 |
somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
ankane/eps | A machine learning library for Ruby that allows users to build predictive models quickly and easily. | 657 |
mommi84/mandolin | A system that uses Markov Logic Networks to discover links in knowledge graphs | 4 |
ajndkr/lanarky | A Python web framework specifically designed to build LLM microservices with built-in support for FastAPI and streaming capabilities. | 976 |
laurentmazare/tensorflow-ocaml | OCaml bindings for a popular machine learning framework | 283 |
mmottl/lacaml | An OCaml interface to widely used linear algebra libraries for high-performance numerical computations. | 128 |
lmj/lparallel | A library that simplifies parallel programming in Common Lisp with features such as task submission, condition handling, and computation trees. | 242 |
lsils/mockturtle | A C++ library for analyzing and manipulating logic networks | 212 |
lmj/lfarm | A library for distributing work across machines using parallel processing | 105 |
catohaste/pomdp | An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task | 52 |
pmerienne/trident-ml | A real-time online machine learning library built on top of Storm and Trident. | 382 |
kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |