Alternatives and similar repositories for IncrementalLearning

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

• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 6 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 8 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 8 years ago
• dtuia / KEMA
  code and data for the paper `Kernel Manifold Alignment for domain adaptation'
  ☆19Updated 9 years ago
• ljain2 / libsvm-openset
  ☆51Updated 10 years ago
• House1993 / ELIS
  Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018
  ☆14Updated 7 years ago
• DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
  A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Sele…
  ☆16Updated 5 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• tsterbak / kernel_eca
  Scikit-learn compatible Kernel Entropy Component Analysis in Python
  ☆13Updated 9 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 7 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 2 years ago
• likang7 / variational-dpgmm
  Variational Dirichlet Process Gaussian Mixture Models
  ☆29Updated 10 years ago
• Haoran-S / SNMF
  Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
  ☆13Updated 8 years ago
• yumilceh / igmm
  Incremental Learning of Gaussian Mixture Models (IGMM)
  ☆30Updated 7 years ago
• GalaxyFox / DS-GA-3001-Deep_Kalman_Filter
  This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
  ☆19Updated 5 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆13Updated 4 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• KKimura360 / MLC_toolbox
  A MATLAB/OCTAVE library for Multi-Label Classification
  ☆35Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• huangwb / LDS-toolbox
  LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling
  ☆13Updated 7 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆60Updated 5 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆70Updated 5 years ago
• LCAS / RKN
  ☆46Updated 2 years ago
• chokkyvista / daSVM
  Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"
  ☆18Updated 10 years ago
• argyriou / multi_task_learning
  Multi-task feature learning
  ☆15Updated 7 years ago
• zhaochangming / MVBLS
  Multi-view Broad Learning Systerm
  ☆10Updated 3 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆63Updated 9 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 6 years ago