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
- Python package to fetch data from the LIBSVM website.☆19Updated last year
- Fast hyperparameter settings for non-smooth estimators:☆39Updated last year
- Software dev. for data science (Python)☆14Updated last month
- ☆13Updated last week
- Making your benchmark of optimization algorithms simple and open☆256Updated last month
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆17Updated 2 years ago
- Conditional density estimation with neural networks☆30Updated last week
- ☆15Updated 3 years ago
- ☆25Updated last week
- MCHMC: sampler from an arbitrary differentiable distribution☆72Updated this week
- Code for Gaussian Score Matching Variational Inference☆30Updated 3 months ago
- Fast and modular sklearn replacement for generalized linear models☆165Updated 2 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆56Updated 7 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last month
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year
- GAP Safe Screening Rules for Sparse-Group Lasso.☆15Updated 6 years ago
- Simulation-based inference benchmark☆95Updated last week
- Gradient-informed particle MCMC methods☆11Updated last year
- Self-tuning HMC algorithms and evaluations☆18Updated 3 months ago
- Proximal optimization in pure python☆115Updated 2 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆55Updated last year
- Efficient, lightweight variational inference and approximation bounds☆42Updated last year
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆211Updated 5 months ago
- State of the art inference for your bayesian models.☆196Updated last month
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 2 years ago
- Simulation-based inference in JAX☆29Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- El0ps: An Exact L0-Problem Solver☆9Updated 3 weeks ago
- Likelihood-Free Frequentist Inference☆15Updated this week
- A simple library to run variational inference on Stan models.☆30Updated last year