HelmholtzAI-Consultants-Munich / PySDDRLinks
A python package for semi-structured deep distributional regression
☆22Updated 2 years ago
Alternatives and similar repositories for PySDDR
Users that are interested in PySDDR are comparing it to the libraries listed below
Sorting:
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Multi-task regression in Python☆25Updated 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 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated last month
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆19Updated 6 months ago
- ☆25Updated last year
- ☆16Updated last year
- Simulations for predictive model selection in causal inference☆13Updated 8 months ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆27Updated 4 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆73Updated 2 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- A Python package for intrinsic dimension estimation☆93Updated last week
- Knockoffs for controlled variable selection☆38Updated 2 months ago
- Fast and modular sklearn replacement for generalized linear models☆183Updated last month
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated last year
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆42Updated 3 months ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆154Updated 2 years ago
- ☆11Updated 7 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆85Updated this week
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 7 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆29Updated 3 years ago
- ☆49Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago