raamana / kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
☆41Updated 2 years ago
Alternatives and similar repositories for kernelmethods:
Users that are interested in kernelmethods are comparing it to the libraries listed below
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- Generalized Canonical Correlation Analysis☆50Updated 7 years ago
- ☆17Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 5 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆44Updated this week
- Multivariate Dictionary Learning Algorithm☆23Updated last year
- Convolution dictionary learning for time-series☆130Updated 3 months ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated last year
- Independent Component Analysis (or other spacial recomposition) embedded in neural layers☆13Updated 7 years ago
- ☆74Updated 6 years ago
- Worked examples☆15Updated 6 years ago
- EasyMKL☆15Updated 6 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 10 months ago
- Preconditioned ICA for Real Data☆108Updated 5 months ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- ☆29Updated 3 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆33Updated 6 years ago
- Fractional ridge regression☆48Updated 2 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 10 months ago