HelmholtzAI-Consultants-Munich / PySDDR
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
- Simulations for predictive model selection in causal inference☆13Updated last month
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆24Updated 2 weeks ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆17Updated 7 months ago
- Knockoffs for controlled variable selection☆33Updated last year
- Fast and modular sklearn replacement for generalized linear models☆165Updated 3 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆75Updated this week
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆70Updated last year
- A library for bayesian variable selection☆28Updated 3 weeks ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A Python package for General Graphical Lasso computation☆32Updated 2 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 8 months ago
- Multi-task regression in Python☆26Updated 4 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆150Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 6 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Beta calibration☆28Updated last year
- 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
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆40Updated 3 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago
- ☆13Updated this week
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- Deep Generative ODE Modelling with Known Unknowns☆18Updated 3 years ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆102Updated 2 months ago
- Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).☆9Updated last year
- ☆9Updated 2 years ago