benchopt / benchmark_lasso
Benchopt benchmark for Lasso
☆14Updated last year
Alternatives and similar repositories for benchmark_lasso
Users that are interested in benchmark_lasso are comparing it to the libraries listed below
Sorting:
- Python package to fetch data from the LIBSVM website.☆20Updated 2 weeks ago
- Software dev. for data science (Python)☆14Updated 2 weeks ago
- Fast hyperparameter settings for non-smooth estimators:☆40Updated last year
- ☆13Updated 3 months ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- ☆26Updated 3 months ago
- Making your benchmark of optimization algorithms simple and open☆262Updated last week
- ☆15Updated last month
- Fast and modular sklearn replacement for generalized linear models☆172Updated last week
- Conditional density estimation with neural networks☆31Updated 3 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆65Updated 11 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 2 weeks ago
- Proximal optimization in pure python☆118Updated 2 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Code for Gaussian Score Matching Variational Inference☆33Updated 2 months ago
- Generative models with JAX.☆17Updated 4 months ago
- Gradient-informed particle MCMC methods☆12Updated last year
- El0ps: An Exact L0-Problem Solver☆9Updated last week
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆225Updated 3 weeks ago
- HiDimStat: High-dimensional statistical inference tool for Python☆22Updated 7 months ago
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated 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
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 5 months ago
- Modular Optimisation tools for solving inverse problems☆27Updated 2 months ago
- Integrals of Gaussians under linear domain constraints☆13Updated 5 years ago
- ☆15Updated 2 years ago
- Simulation-based inference benchmark☆96Updated 3 months ago