IvanoLauriola / MKLpyLinks
A package for Multiple Kernel Learning in Python
☆131Updated 2 years ago
Alternatives and similar repositories for MKLpy
Users that are interested in MKLpy are comparing it to the libraries listed below
Sorting:
- Python package for multi-view machine learning☆213Updated 2 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- ☆120Updated 3 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆188Updated 3 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 6 years ago
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 6 years ago
- Regularized kernel canonical correlation analysis in Python☆257Updated 4 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆43Updated 2 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- EasyMKL☆15Updated 7 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆141Updated 10 months ago
- Python code of Hilbert-Schmidt Independence Criterion☆88Updated 3 years ago
- Multi-task learning via Structural Regularization☆134Updated 4 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆212Updated last year
- Lightweight Python library for in-memory matrix completion.☆108Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- A simple Python implementation of R-PCA☆247Updated 2 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 2 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Convolution dictionary learning for time-series☆133Updated last month
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆138Updated last year
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- Contrastive Variational Autoencoders☆70Updated 6 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆101Updated last year