Alternatives and similar repositories for multi_task_learning:

Users that are interested in multi_task_learning are comparing it to the libraries listed below

• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 5 years ago
• vinay-jayaram / MTlearning
  Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL
  ☆14Updated 7 years ago
• GWLee0524 / AMTL
  Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper
  ☆10Updated 8 years ago
• Jiaolong / DA-SVMs
  Various SVM based methods for domain adaptation
  ☆10Updated 9 years ago
• ericstrobl / deepMKL
  Deep Multiple Kernel Learning by Span Bound
  ☆11Updated 10 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆49Updated 7 years ago
• jmikko / EasyMKL
  EasyMKL
  ☆16Updated 6 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆45Updated last year
• dtuia / KEMA
  code and data for the paper `Kernel Manifold Alignment for domain adaptation'
  ☆19Updated 8 years ago
• gjtrowbridge / simple-mkl-python
  Implementation of the SimpleMKL algorithm (multiple kernel SVM)
  ☆20Updated 10 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆24Updated last year
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated 7 months ago
• gditzler / IncrementalLearning
  Implementation of incremental learning algorithms for Matlab.
  ☆17Updated 10 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• LIBOL / KOL
  Library for Kernel Online Learning
  ☆11Updated 7 years ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆72Updated 6 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆64Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 7 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 5 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• aniketde / DomainGeneralizationMarginal
  ☆13Updated 7 years ago
• lopezpaz / classifier_tests
  Code for "Revisiting classifier two-sample tests" (ICLR 2017).
  ☆20Updated 6 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 7 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago