Alternatives and similar repositories for c-lasso

Users that are interested in c-lasso are comparing it to the libraries listed below

• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆23Updated 4 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆36Updated 6 months ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆89Updated 2 months ago
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆57Updated 4 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 2 months ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 2 months ago
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆183Updated 3 weeks ago
• 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
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated last year
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆55Updated 3 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆68Updated 2 years ago
• Shai128 / oqr
  Orthogonal Quantile Regression
  ☆12Updated 3 years ago
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆37Updated last month
• tensorly / viz
  Easy visualization and evaluation of matrix and tensor factorization models
  ☆17Updated 2 years ago
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆26Updated last year
• XiaoouPan / adaHuber
  Tuning-Free Huber Regression
  ☆15Updated 3 years ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 5 years ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago