raamana / kernelmethodsLinks
Foundational library for Kernel methods in pattern analysis and machine learning
☆43Updated 2 years ago
Alternatives and similar repositories for kernelmethods
Users that are interested in kernelmethods are comparing it to the libraries listed below
Sorting:
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- A package for Multiple Kernel Learning in Python☆131Updated 2 years ago
- Python package for multi-view machine learning☆214Updated 2 years ago
- Distance Metric Learning Algorithms for Python☆174Updated 4 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 5 months ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆101Updated last year
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Preconditioned ICA for Real Data☆115Updated last month
- ☆25Updated 3 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Convolution dictionary learning for time-series☆133Updated 2 months ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- missing data handing: visualize and impute☆18Updated 6 years ago
- Dirichlet Process K-means☆48Updated last year
- ☆17Updated 6 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆48Updated 6 months ago
- Implementation of accurate coresets for known problems from the field of machine learning.☆11Updated 5 years ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated this week
- Multi-task regression in Python☆25Updated 4 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated 11 months ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Independent Component Analysis (or other spacial recomposition) embedded in neural layers☆13Updated 7 years ago