MALSAR
Multi-task learning framework
Provides a comprehensive framework for multi-task learning via structural regularization in MATLAB.
Multi-task learning via Structural Regularization
133 stars
14 watching
73 forks
Language: Matlab
last commit: over 5 years agoLinked from 1 awesome list
matlabmulti-task-clustering
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides training materials and tools for building machine learning applications | 72 | |
| A Java library providing a range of machine learning algorithms and tools for statistical analysis | 791 | |
| Matlab codes for feature learning algorithms used in machine learning experiments | 568 | |
| Software for modeling and prediction with multiple output Gaussian processes | 48 | |
| A comprehensive framework for practical machine learning in Ruby. | 20 | |
| A collection of resources and tools for video analysis using deep learning and multi-modal learning techniques. | 767 | |
| A Python module for multi-label learning tasks using various scientific Python packages and following the scikit-learn API. | 921 | |
| A toolkit for natural language processing research enabling multitask learning and transfer learning. | 1,650 | |
| A toolbox for building and training deep neural networks in Matlab | 70 | |
| A personal workspace containing algorithms and tools for machine learning, neural networks, and microphone array processing. | 42 | |
| A comprehensive R package providing tools and techniques for building machine learning models in supervised learning. | 9 | |
| A Matlab toolbox providing implementations of Gaussian processes and other machine learning tools. | 135 | |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 | |
| Matlab implementation of machine learning algorithms | 59 | |
| A pre-trained model and toolset for performing vision-and-language tasks using a specific neural network architecture. | 473 |