Leo-Simpson / c-lassoLinks
c-lasso: a Python package for constrained sparse regression and classification
☆32Updated 4 years ago
Alternatives and similar repositories for c-lasso
Users that are interested in c-lasso are comparing it to the libraries listed below
Sorting:
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Software for selective inference☆17Updated 2 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- ABCpy package☆116Updated last year
- A Python package for General Graphical Lasso computation☆38Updated 8 months ago
- Statistical Inference and Sure Independence Screening via Ball Statistics☆32Updated 4 months ago
- Group Lasso package for Python.☆16Updated 2 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆233Updated 4 months ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Updated 4 years ago
- Tuning-Free Huber Regression☆15Updated 3 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆58Updated 4 years ago
- Fast and modular sklearn replacement for generalized linear models☆185Updated 3 weeks ago
- 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
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆101Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- 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 practical tool for Maximal Information Coefficient (MIC) analysis☆137Updated last year
- REGAIN (Regularised Graphical Inference)☆29Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Easy visualization and evaluation of matrix and tensor factorization models☆17Updated 2 years ago