stanlazic / ML_uncertainty_quantificationLinks
Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models
☆11Updated 3 years ago
Alternatives and similar repositories for ML_uncertainty_quantification
Users that are interested in ML_uncertainty_quantification are comparing it to the libraries listed below
Sorting:
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30Updated 3 years ago
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- ☆15Updated 5 years ago
- Bayesian inference of effective contagion models from population level data, with STAN☆14Updated 5 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- R interface for OSQP☆13Updated last year
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆29Updated 7 years ago
- Gaussian processes on graphs and lattices in Stan.☆19Updated 10 months ago
- A batteries-included template for Bayesian data analysis projects☆22Updated last year
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- The matching routine for interologs identification based on co-evolution☆11Updated 7 years ago
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆28Updated 5 years ago
- Conformal Bayes with importance sampling☆23Updated 4 years ago
- Efficient Algorithms for L0 Regularized Learning☆104Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- Dynamic modeling and parameter estimation in R☆22Updated 11 months ago
- Towards a more flexible BART☆23Updated last week
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated 2 years ago
- ☆24Updated 3 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 5 years ago
- Field Guide to Continuous Probability Distributions by Gavin E. Crooks☆27Updated 3 years ago
- Bayesian optimization of discrete sequences☆21Updated 3 years ago
- Learning with Data on Riemannian Manifolds☆11Updated 4 months ago
- ☆29Updated 4 years ago
- Bayesian Regression Models in Pyro☆74Updated last year
- Solves the best subset selection problem☆45Updated last week
- E.T. Jaynes home phone.☆45Updated 5 years ago
- ☆33Updated 4 months ago
- Estimation of calibration errors.☆17Updated last year