hichamjanati / mutarLinks
Multi-task regression in Python
☆25Updated 4 years ago
Alternatives and similar repositories for mutar
Users that are interested in mutar are comparing it to the libraries listed below
Sorting:
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 4 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 5 years ago
- A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.☆30Updated 7 years 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
- This is the implementation of Sparse Projection Oblique Randomer Forest☆102Updated last year
- Highly Comparative Graph Analysis - Code for network phenotyping☆50Updated last year
- Estimate dynamic high-order correlations in multivariate timeseries data☆41Updated 5 months ago
- Convolution dictionary learning for time-series☆133Updated last month
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- The official implementation for the paper R.Castro, S.Moustafa, P.Pilyugina, E.Burnaev "Topologically-based Variational Autoencoder for T…☆19Updated 5 years ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- ☆39Updated 6 years ago
- Causal Dynamic Network Modeling☆14Updated 6 years ago
- Initial attempt to incorporate some time-series analysis features from hctsa into python land☆28Updated 9 years ago
- Preconditioned ICA for Real Data☆117Updated last week
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Simulate Evidence Accumulation Models in Python☆23Updated 4 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 7 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆21Updated 3 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆188Updated 4 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 4 years ago
- ☆30Updated 3 years ago
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆92Updated 6 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 11 months ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.☆40Updated 6 years ago