| VowpalWabbit/vowpal_wabbit |
8,363 |
|
8 |
26 |
about 2 years 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-ML/angel |
6,690 |
|
22 |
7 |
about 2 years ago |
23 |
August 25, 2021 |
130 |
other |
Java |
| A Flexible and Powerful Parameter Server for large-scale machine learning |
| online-ml/river |
4,622 |
|
2 |
27 |
about 2 years ago |
20 |
December 05, 2023 |
108 |
bsd-3-clause |
Python |
| 🌊 Online machine learning in Python |
| HyperGAN/HyperGAN |
1,187 |
|
0 |
0 |
about 3 years ago |
74 |
August 09, 2020 |
20 |
mit |
Python |
| Composable GAN framework with api and user interface |
| upb-lea/reinforcement_learning_course_materials |
857 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University |
| lvapeab/nmt-keras |
514 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
mit |
Python |
| Neural Machine Translation with Keras |
| giacbrd/ShallowLearn |
196 |
|
0 |
0 |
over 8 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. |
| RootHarold/Lycoris |
188 |
|
0 |
3 |
almost 6 years ago |
10 |
May 22, 2020 |
1 |
lgpl-3.0 |
C++ |
| A lightweight and easy-to-use deep learning framework with neural architecture search. |
| hiroyuki-kasai/SGDLibrary |
181 |
|
0 |
0 |
almost 3 years ago |
0 |
|
9 |
mit |
MATLAB |
| MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20 |
| Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation |
175 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
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. |
