core
ML vocabulary
Develops and maintains a standard ontology of machine learning concepts and their relationships with other vocabularies and ontologies
📚 CORE ontology of ML-Schema and mapping to other machine learning vocabularies and ontologies (DMOP, Exposé, OntoDM, and MEX)
26 stars
14 watching
7 forks
Language: HTML
last commit: almost 4 years ago
Linked from 1 awesome list
semantalytics/awesome-semantic-webRelated projects:
| Repository | Description | Stars |
|---|---|---|
 dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 902 |
 scicloj/scicloj.ml | A machine learning library built on top of Clojure with a focus on data preprocessing and model creation | 216 |
 ajtulloch/haskell-ml | Implementations of basic machine learning algorithms in Haskell | 57 |
 techascent/tech.ml | A Clojure-based machine learning library that provides a simple and stable way to perform regression and classification tasks. | 96 |
 visenger/mlspec | A framework to standardize intercomponent schemas for multi-stage machine learning pipelines | 7 |
 lehy/ocaml-sklearn | Enables machine learning with scikit-learn in OCaml | 34 |
 mmaul/clml | A high-performance statistical machine learning library written in Common Lisp | 261 |
 anshuman73/deml-golem | A proof-of-concept implementation of decentralized machine learning on top of the Golem architecture | 43 |
 joshuaeckroth/clj-ml | A Clojure library for building machine learning models on top of Weka and other algorithms | 136 |
 google/ml-metadata | A library for recording and managing metadata associated with machine learning workflows | 626 |
 zlpure/machine-learning--coursera | A comprehensive solution to machine learning assignments on Coursera with MATLAB code | 55 |
 mlr-org/mlr | Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code. | 1,643 |
 cloudkj/lambda-ml | A machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities. | 76 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,434 |
| mlr-org/mlr3 | Provides an object-oriented framework for efficient machine learning in R | 945 |