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
  ☆29Updated 5 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 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
  ☆39Updated 9 months ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆24Updated 4 years ago
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆58Updated 4 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆21Updated 3 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated last month
• tensorly / viz
  Easy visualization and evaluation of matrix and tensor factorization models
  ☆17Updated 2 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆236Updated 6 months ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆40Updated 5 months ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆91Updated 5 months 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
• XiaoouPan / adaHuber
  Tuning-Free Huber Regression
  ☆15Updated 3 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated last month
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 7 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆28Updated 4 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆25Updated last year
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 4 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 11 months ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆103Updated last year