POF-MKL
by pouyamghari
AI summary
Machine Learning Algorithm
An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning
- stars
- 0
- forks
- 0
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Federated learner
Implementation of federated learning algorithms for distributed machine learning on private client data
cdipaolo/goml1.6K
ML framework
A Go library that provides an online machine learning framework with various algorithms and models
RL algorithm
An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task
ML framework
Enables machine learning with scikit-learn in OCaml
ML library
This is a collection of machine learning algorithms implemented in Python 3.6.
Machine Learning Engine
Research on integrating machine learning with emergent runtimes to improve performance and security.
Online classifier library
A collection of machine learning algorithms for online linear classification
ML library
A Python machine learning library providing efficient array operations and neural network functionality
Machine learning library
An easy-to-use machine learning library with various algorithms for classification and regression tasks.
dask/dask-ml907
Machine Learning Engine
A Python library for scalable machine learning using Dask alongside popular ML libraries
Algorithms repository
A comprehensive resource for machine learning and deep learning algorithms
Feature learning library
A Python project implementing a novel approach to high-performance feature learning and dimensionality reduction in deep neural networks
Machine Learning Book Implementation
An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook
Machine Learning Engine
An asynchronous engine for continuous and autonomous machine learning
Machine learning framework
A machine learning framework for training models on quantum dot data