MALSAR

Multi-task learning framework

A collection of multi-task learning algorithms using structural regularization techniques to improve performance on multiple related tasks.

Multi-task learning via Structural Regularization

GitHub

133 stars
14 watching
73 forks
Language: Matlab
last commit: almost 4 years ago
Linked from 1 awesome list

matlabmulti-task-clustering

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ardanlabs/training-ai Provides training materials and tools for building machine learning applications 72
edwardraff/jsat A Java library providing a range of machine learning algorithms and tools for statistical analysis 789
zjulearning/matlabfunc Matlab codes for feature learning algorithms used in machine learning experiments 556
sheffieldml/multigp Software for modeling and prediction with multiple output Gaussian processes 48
giuse/machine_learning_workbench A comprehensive framework for practical machine learning in Ruby. 20
huaizhengzhang/awsome-deep-learning-for-video-analysis A collection of resources and tools for video analysis using deep learning and multi-modal learning techniques. 763
scikit-multilearn/scikit-multilearn A Python module for multi-label learning tasks using various scientific Python packages and following the scikit-learn API. 921
nyu-mll/jiant A toolkit for natural language processing research enabling multitask learning and transfer learning. 1,644
joncox123/cortexsys A toolbox for building and training deep neural networks in Matlab 70
mahuichao/matlabworkspace A personal workspace containing algorithms and tools for machine learning, neural networks, and microphone array processing. 42
jhashanti/machine-learning-with-r A comprehensive R package providing tools and techniques for building machine learning models in supervised learning. 9
sheffieldml/gpmat A Matlab toolbox providing implementations of Gaussian processes and other machine learning tools. 132
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
rishirdua/machine-learning-matlab Matlab implementation of machine learning algorithms 59
jiasenlu/vilbert_beta A pre-trained model and toolset for performing vision-and-language tasks using a specific neural network architecture. 474