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:
- A Python package for General Graphical Lasso computation☆35Updated 3 months ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- ☆19Updated 5 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- Software for selective inference☆17Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Inference in Bayesian Networks with R☆11Updated 2 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 5 years ago
- Group Lasso package for Python.☆15Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Orthogonal Quantile Regression☆11Updated 3 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- ABCpy package☆114Updated last year
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Collapsed Variational Bayes☆71Updated 5 years ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago