kisungyou / Riemann
Learning with Data on Riemannian Manifolds
☆9Updated last year
Related projects: ⓘ
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- D-CODE: Discovering Closed-form ODEs from Observed Trajectories☆14Updated 2 years ago
- Random feature latent variable models in Python☆21Updated last year
- A multi-algorithm Python framework for regularized regression☆12Updated 10 months ago
- Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)☆11Updated 9 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆15Updated 2 weeks ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 2 years ago
- Ultrahyperbolic Representation Learning☆11Updated 4 years ago
- Train deepGLM with Matlab, R and Python☆26Updated last year
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆20Updated 3 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆30Updated 3 years ago
- Parametric and non-parametric conditional independence testing.☆10Updated 3 years ago
- An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions☆12Updated 10 months ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆15Updated 4 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- A Simple Statistical Distribution Library in JAX☆16Updated 5 months ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 2 years ago
- Diverse and generative ML benchmarks☆14Updated 2 years ago
- An R package for statistics and machine learning with persistence diagrams☆16Updated 2 months ago
- Book Chapter Drafts☆25Updated last week
- A quarto notebook introducing Stan in Python (and maybe R).☆11Updated last year
- Sorted L1 Penalized Estimation☆17Updated last week
- ☆30Updated last year
- Analyzing Complex Networks with Python☆10Updated last year
- Bayesian inference for a logistic regression model in various languages☆43Updated last year
- State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the …☆7Updated 6 years ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆20Updated 2 months ago
- Network inference by fusing data from diverse distributions☆14Updated 7 years ago
- Bayesian sparse regression with regularized shrinkage and conjugate gradient acceleration☆19Updated 8 months ago
- Continuous-time Markov model with discrete observations☆11Updated 8 years ago