kisungyou / Riemann
Learning with Data on Riemannian Manifolds
☆10Updated 2 years ago
Alternatives and similar repositories for Riemann:
Users that are interested in Riemann are comparing it to the libraries listed below
- A cookbook of epidemiological models☆13Updated 6 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- An R package for statistics and machine learning with persistence diagrams☆16Updated 5 months ago
- Numerical experiments for nested cross-validation paper☆11Updated 2 years ago
- Bayesian sparse regression with regularized shrinkage and conjugate gradient acceleration☆19Updated 2 months ago
- Ultrahyperbolic Representation Learning☆12Updated 4 years ago
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated last month
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Repository for the online book "Guide to Effect Sizes and Confidence Intervals"☆16Updated last year
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated 8 months ago
- Network inference by fusing data from diverse distributions☆14Updated 8 years ago
- A simple R package for calculating absolute agreement and estimating required sample sizes for studies of absolute agreement☆10Updated 2 weeks ago
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 2 months ago
- Automated machine learning in mlr3☆25Updated 3 years ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- Diverse and generative ML benchmarks☆15Updated 2 years ago
- Parametric and non-parametric conditional independence testing.☆10Updated 4 years ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆30Updated 3 weeks ago
- Regression Modeling Strategies Bayesian☆16Updated last month
- Computational Methods for Numerical Analysis☆16Updated last year
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions☆12Updated 3 weeks ago
- Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)☆11Updated 10 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆12Updated last year
- R interface for OSQP☆12Updated 10 months ago
- Results and software for our paper on structured epidemic modeling☆13Updated 2 years ago
- Case studies in applied and computational statistics.☆36Updated 5 months ago
- Files for StanCon 2023 tutorial.☆15Updated 9 months ago