mathurinm / celerLinks
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
☆226Updated last month
Alternatives and similar repositories for celer
Users that are interested in celer are comparing it to the libraries listed below
Sorting:
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Group Lasso implementation following the scikit-learn API☆106Updated 11 months ago
- Making your benchmark of optimization algorithms simple and open☆263Updated 2 weeks ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- Distance correlation and related E-statistics in Python☆149Updated 9 months ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆94Updated 2 weeks ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- A Python package for General Graphical Lasso computation☆35Updated 3 months ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆79Updated last week
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆86Updated 3 weeks ago
- Large-scale, multi-GPU capable, kernel solver☆187Updated 10 months ago
- A Python library for mathematical optimization☆141Updated 8 months ago
- GAP Safe Screening Rules for Sparse-Group Lasso.☆15Updated 6 years ago
- Functional Data Analysis Python package☆326Updated this week
- This is the implementation of Sparse Projection Oblique Randomer Forest☆98Updated last year
- ☆74Updated last year
- Python implementation of elastic-net regularized generalized linear models☆282Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆269Updated 3 weeks ago
- Python package for missing-data imputation with deep learning☆149Updated 9 months ago
- ☆112Updated last week
- Randomization-based inference in Python☆79Updated this week
- Automatic differentiation + optimization☆103Updated 6 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- groupyr: Sparse Group Lasso in Python☆22Updated 8 months ago
- Structural Time Series in JAX☆191Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- High performance Python GLMs with all the features!☆338Updated last week
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago