ulissigroup / uncertainty_benchmarking
Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
☆41Updated 3 years ago
Alternatives and similar repositories for uncertainty_benchmarking:
Users that are interested in uncertainty_benchmarking are comparing it to the libraries listed below
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆21Updated last year
- Library for training Gaussian Processes on Molecules☆36Updated 3 years ago
- Deep Batch Active Learning for Regression☆66Updated 5 months ago
- Multiplicative Normalizing Flows in PyTorch.☆24Updated 2 weeks ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- A library for uncertainty quantification based on PyTorch☆123Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated last year
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆40Updated 2 years ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆51Updated 2 years ago
- Olympus: a benchmarking framework for noisy optimization and experiment planning☆85Updated 4 months ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- ☆14Updated last year
- Deep Supervised Graph Partitioning Model☆14Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆24Updated last month
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆68Updated 10 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆16Updated last year
- ☆11Updated last year
- ☆40Updated 3 years ago
- ☆43Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆71Updated 4 years ago