MLKit
ML framework
A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects.
A simple machine learning framework written in Swift 🤖
152 stars
13 watching
14 forks
Language: Swift
last commit: over 6 years ago
Linked from 1 awesome list
artificial-intelligencebackpropagationfeedforward-neural-networkgenetic-algorithmkmeanskmeans-clusteringlasso-regressionlinear-regressionmachine-learningmachine-learning-algorithmsmachine-learning-librarymlkitneural-networkpolynomial-regressionregressionridge-regressionswift
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
 lehy/ocaml-sklearn | Enables machine learning with scikit-learn in OCaml | 34 |
 mlr-org/mlr | Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code. | 1,648 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
| mlr-org/mlr3 | Provides an object-oriented framework for efficient machine learning in R | 952 |
 sethjuarez/numl | Provides a set of reusable C# components for building machine learning models in .NET | 431 |
 mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 |
 samsung/veles | A distributed machine learning platform for rapid Deep learning application development | 905 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
 symjax/symjax | A symbolic programming library for machine learning and deep learning applications. | 120 |
 jedld/tensor_stream | A Ruby-based framework for building and deploying machine learning models on various hardware platforms. | 506 |
 h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
 giuse/machine_learning_workbench | A comprehensive framework for practical machine learning in Ruby. | 20 |
 pmerienne/trident-ml | A real-time online machine learning library built on top of Storm and Trident. | 381 |