OnlineLearning.jl
Online learner
An online machine learning framework implementing incremental learning methods for prediction in Julia
14 stars
3 watching
1 forks
Language: Julia
last commit: almost 10 years ago
Linked from 2 awesome lists
josephmisiti/awesome-machine-learning
jobbole/awesome-machine-learning-cnRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benhamner/machinelearning.jl | A Julia library providing a consistent API for common machine learning algorithms | 116 |
 juliareinforcementlearning/reinforcementlearninganintroduction.jl | Provides Julia code to generate figures and examples for an introductory reinforcement learning book | 310 |
 cstjean/scikitlearn.jl | A Julia implementation of popular machine learning algorithms and interfaces. | 544 |
 juliaai/mlj.jl | A toolbox providing common interfaces and meta-algorithms for machine learning models in Julia. | 1,795 |
 masatoi/cl-online-learning | A collection of machine learning algorithms for online linear classification | 50 |
 machinelearnjs/machinelearnjs | A lightweight Machine Learning library for JavaScript and Node.js providing easy-to-use APIs for various algorithms. | 540 |
 pluskid/mocha.jl | A deep learning framework for Julia inspired by Caffe, providing an efficient and modular way to train neural networks. | 1,287 |
 federatedai/eggroll | A framework for distributed machine learning | 244 |
 monkeylearn/monkeylearn-ruby | Provides an official Ruby client for the MonkeyLearn API to build and consume machine learning models for language processing from Ruby apps. | 80 |
 charliermarsh/online_boosting | A suite of algorithms and weak learners for the online learning setting in machine learning | 63 |
 maciejkula/rustlearn | A Rust machine learning crate providing algorithms and utilities for building and training machine learning models. | 619 |
 hshindo/merlin.jl | A Julia-based framework for building and training neural networks | 144 |
 yusugomori/deeplearning.coffee | A collection of simple JavaScript implementations of deep learning concepts | 35 |
 juliastats/clustering.jl | A collection of clustering algorithms and evaluation metrics for data analysis | 355 |
 kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |