Alternatives and similar repositories for skglm

Users that are interested in skglm are comparing it to the libraries listed below

• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆235Updated 6 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆112Updated 3 months ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated this week
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆73Updated 2 years ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆363Updated last week
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• pymc-devs / pymc-bart
  ☆134Updated this week
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆72Updated last year
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆282Updated this week
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆130Updated this week
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆101Updated 7 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆212Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆64Updated last week
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated last month
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆231Updated 7 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆292Updated this week
• bips-hb / arfpy
  Python implementation of adversarial random forests for density estimation and generative modelling
  ☆31Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 9 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆127Updated this week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 5 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆81Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆160Updated 3 weeks ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• janezd / baycomp
  ☆75Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆122Updated 3 weeks ago