 mlens
 mlens 
 Ensemble framework
 A Python library for building and training ensemble machine learning models
ML-Ensemble – high performance ensemble learning
849 stars
 28 watching
 109 forks
 
Language: Python 
last commit: almost 2 years ago 
Linked from   1 awesome list  
  ensembleensemble-learningensembleslearnersmachine-learningpythonstackstacking 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A Python library implementing Stacked Generalization (Ensemble Learning) for combining multiple machine learning models to improve prediction accuracy. | 222 | 
|  | A collection of source code and supporting materials for a PhD study on ensemble learning methods and machine learning algorithms. | 45 | 
|  | A library that enables quick and efficient ensemble learning on imbalanced datasets through various over-/under-sampling methods and algorithms | 340 | 
|  | A tool to automate the creation and optimization of stacked machine learning ensembles. | 1,268 | 
|  | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 | 
|  | An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments | 145 | 
|  | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 | 
|  | Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 | 
|  | A framework for developing and testing decentralized machine learning algorithms | 2 | 
|  | Measures the performance of deep learning models in various deployment scenarios. | 1,256 | 
|  | Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code. | 1,648 | 
|  | A collection of implementations and wrappers for a tree ensemble machine learning method | 379 | 
|  | A real-time online machine learning library built on top of Storm and Trident. | 381 | 
|  | A framework for training and serving machine learning models using JAX, with a focus on flexibility and customization. | 212 | 
|  | An ML framework for accelerating research and its integration into production workflows | 264 |