IvanoLauriola / MKLpy
A package for Multiple Kernel Learning in Python
☆129Updated 2 years ago
Alternatives and similar repositories for MKLpy:
Users that are interested in MKLpy are comparing it to the libraries listed below
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆181Updated 3 years ago
- EasyMKL☆15Updated 6 years ago
- Generalized Canonical Correlation Analysis☆50Updated 7 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 8 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆139Updated 4 months ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆118Updated 2 years ago
- Multi-task learning via Structural Regularization☆133Updated 4 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆40Updated 9 months ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆107Updated 3 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Friedman tests for comparing multiple methods across datasets in python☆33Updated 3 years ago
- ☆16Updated 12 years ago
- Feature selection in neural networks☆235Updated 6 months ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆204Updated 11 months ago
- Python package for multi-view machine learning☆209Updated last year
- Regularized kernel canonical correlation analysis in Python☆250Updated 3 years ago
- Laplacian Support Vector Machines☆20Updated 5 years ago
- This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).☆70Updated 3 months ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago
- Group Lasso implementation following the scikit-learn API☆106Updated 10 months ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 2 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 7 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago