Leo-Simpson / c-lassoLinks
c-lasso: a Python package for constrained sparse regression and classification
☆32Updated 4 years ago
Alternatives and similar repositories for c-lasso
Users that are interested in c-lasso are comparing it to the libraries listed below
Sorting:
- A Python package for General Graphical Lasso computation☆35Updated 4 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆23Updated 4 years ago
- REGAIN (Regularised Graphical Inference)☆29Updated 2 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Fast and modular sklearn replacement for generalized linear models☆176Updated last week
- Statistical Inference and Sure Independence Screening via Ball Statistics☆32Updated 3 weeks ago
- Software for selective inference☆17Updated 2 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆26Updated 5 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆26Updated 4 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Group Lasso package for Python.☆16Updated last year
- Knockoffs for controlled variable selection☆37Updated this week
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆87Updated 2 weeks ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- Group Lasso implementation following the scikit-learn API☆106Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …☆38Updated 3 years ago
- Tuning-Free Huber Regression☆15Updated 3 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆228Updated last month
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 4 years ago
- Vector Quantile Regression☆20Updated 3 months ago