LLNL / DeltaUQLinks
☆13Updated last year
Alternatives and similar repositories for DeltaUQ
Users that are interested in DeltaUQ are comparing it to the libraries listed below
Sorting:
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- ☆35Updated 2 years ago
- ☆11Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Normalizing Flows using JAX☆84Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆27Updated 4 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 3 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Gaussian Processes for Experimental Sciences☆227Updated 2 months ago
- ☆13Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- ☆14Updated 2 years ago
- Implementation of normalizing flows from 1d to Nd☆36Updated 4 years ago
- ☆73Updated 5 years ago
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago
- Deep Batch Active Learning for Regression☆69Updated 11 months ago
- ☆152Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated 3 weeks ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- ☆30Updated 3 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Stochastic Normalizing Flows☆77Updated 3 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago