joshloyal / slicedLinks
sliced: scikit-learn compatible sufficient dimension reduction
☆19Updated last year
Alternatives and similar repositories for sliced
Users that are interested in sliced are comparing it to the libraries listed below
Sorting:
- computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …☆40Updated 3 years ago
- elastic fda python code☆53Updated last month
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆45Updated 5 months ago
- Contrastive PCA☆229Updated last month
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆188Updated 3 years ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- Predictive principal component analysis (PredPCA)☆20Updated 3 years ago
- A Python package for General Graphical Lasso computation☆39Updated 8 months ago
- Convolution dictionary learning for time-series☆133Updated last week
- minepy - Maximal Information-based Nonparametric Exploration☆230Updated last year
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆234Updated 5 months ago
- Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps☆42Updated 4 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Updated 5 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- resources related to papers☆13Updated 3 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- A simple Python implementation of R-PCA☆250Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 5 months ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Updated 4 years ago
- Software for selective inference☆17Updated 2 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆249Updated 5 years ago
- Highly Comparative Graph Analysis - Code for network phenotyping☆50Updated last year
- Regularized kernel canonical correlation analysis in Python☆258Updated 4 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆21Updated 3 years ago
- ☆40Updated 9 years ago
- Python package for multi-view machine learning☆214Updated 2 years ago
- Linear Optimal Low Rank Projection☆18Updated 6 years ago