Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Vowpal_wabbit | 8,416 | 8 | 26 | 2 months ago | 25 | July 19, 2023 | 143 | other | C++ | |
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. | ||||||||||
Angel | 6,690 | 22 | 7 | 5 months ago | 23 | August 25, 2021 | 130 | other | Java | |
A Flexible and Powerful Parameter Server for large-scale machine learning | ||||||||||
River | 4,748 | 2 | 27 | 3 months ago | 20 | December 05, 2023 | 108 | bsd-3-clause | Python | |
🌊 Online machine learning in Python | ||||||||||
Hypergan | 1,190 | a year ago | 74 | August 09, 2020 | 20 | mit | Python | |||
Composable GAN framework with api and user interface | ||||||||||
Reinforcement_learning_course_materials | 857 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University | ||||||||||
Nmt Keras | 514 | 3 years ago | 4 | mit | Python | |||||
Neural Machine Translation with Keras | ||||||||||
Shallowlearn | 196 | 7 years ago | 5 | December 30, 2016 | 17 | lgpl-3.0 | Python | |||
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn. | ||||||||||
Lycoris | 188 | 3 | 4 years ago | 10 | May 22, 2020 | 1 | lgpl-3.0 | C++ | ||
A lightweight and easy-to-use deep learning framework with neural architecture search. | ||||||||||
Sgdlibrary | 181 | a year ago | 9 | mit | MATLAB | |||||
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20 | ||||||||||
Pwpae Concept Drift Detection And Adaptation | 175 | a year ago | mit | Jupyter Notebook | ||||||
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021. |